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991: [discriminator loss: 0.521201, acc: 0.773438] [adversarial loss: 0.767552, acc: 0.562500]
992: [discriminator loss: 0.605586, acc: 0.718750] [adversarial loss: 1.902050, acc: 0.015625]
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1008: [discriminator loss: 0.574279, acc: 0.710938] [adversarial loss: 1.668157, acc: 0.046875]
1009: [discriminator loss: 0.496074, acc: 0.757812] [adversarial loss: 0.856019, acc: 0.359375]
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1014: [discriminator loss: 0.450735, acc: 0.796875] [adversarial loss: 0.994781, acc: 0.234375]
1015: [discriminator loss: 0.567002, acc: 0.695312] [adversarial loss: 1.661239, acc: 0.109375]
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1017: [discriminator loss: 0.553937, acc: 0.695312] [adversarial loss: 1.432564, acc: 0.140625]
1018: [discriminator loss: 0.599818, acc: 0.671875] [adversarial loss: 0.693681, acc: 0.609375]
1019: [discriminator loss: 0.537459, acc: 0.710938] [adversarial loss: 1.591670, acc: 0.046875]
1020: [discriminator loss: 0.548683, acc: 0.718750] [adversarial loss: 0.848870, acc: 0.312500]
1021: [discriminator loss: 0.637091, acc: 0.617188] [adversarial loss: 1.542385, acc: 0.046875]
1022: [discriminator loss: 0.627829, acc: 0.679688] [adversarial loss: 0.831139, acc: 0.421875]
1023: [discriminator loss: 0.548283, acc: 0.742188] [adversarial loss: 1.259609, acc: 0.187500]
1024: [discriminator loss: 0.526377, acc: 0.750000] [adversarial loss: 1.214435, acc: 0.156250]
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1026: [discriminator loss: 0.573194, acc: 0.679688] [adversarial loss: 1.139276, acc: 0.250000]
1027: [discriminator loss: 0.495834, acc: 0.781250] [adversarial loss: 0.925243, acc: 0.343750]
1028: [discriminator loss: 0.454867, acc: 0.789062] [adversarial loss: 1.308219, acc: 0.203125]
1029: [discriminator loss: 0.494366, acc: 0.750000] [adversarial loss: 0.814810, acc: 0.500000]
1030: [discriminator loss: 0.553550, acc: 0.718750] [adversarial loss: 1.632033, acc: 0.031250]
1031: [discriminator loss: 0.572080, acc: 0.671875] [adversarial loss: 0.794537, acc: 0.500000]
1032: [discriminator loss: 0.586634, acc: 0.671875] [adversarial loss: 1.676820, acc: 0.015625]
1033: [discriminator loss: 0.590470, acc: 0.679688] [adversarial loss: 0.676158, acc: 0.609375]
1034: [discriminator loss: 0.661786, acc: 0.625000] [adversarial loss: 1.889877, acc: 0.031250]
1035: [discriminator loss: 0.561659, acc: 0.656250] [adversarial loss: 0.845853, acc: 0.375000]
1036: [discriminator loss: 0.514359, acc: 0.734375] [adversarial loss: 1.289355, acc: 0.109375]
1037: [discriminator loss: 0.479576, acc: 0.781250] [adversarial loss: 0.971861, acc: 0.359375]
1038: [discriminator loss: 0.553479, acc: 0.726562] [adversarial loss: 1.105067, acc: 0.265625]
1039: [discriminator loss: 0.529775, acc: 0.703125] [adversarial loss: 1.016877, acc: 0.234375]
1040: [discriminator loss: 0.536458, acc: 0.726562] [adversarial loss: 1.073738, acc: 0.234375]
1041: [discriminator loss: 0.495758, acc: 0.757812] [adversarial loss: 1.118382, acc: 0.250000]
1042: [discriminator loss: 0.538615, acc: 0.679688] [adversarial loss: 1.243581, acc: 0.156250]
1043: [discriminator loss: 0.465927, acc: 0.781250] [adversarial loss: 1.024026, acc: 0.296875]
1044: [discriminator loss: 0.489171, acc: 0.773438] [adversarial loss: 1.132186, acc: 0.203125]
1045: [discriminator loss: 0.497125, acc: 0.757812] [adversarial loss: 1.018821, acc: 0.296875]
1046: [discriminator loss: 0.526626, acc: 0.710938] [adversarial loss: 1.412222, acc: 0.078125]
1047: [discriminator loss: 0.552927, acc: 0.726562] [adversarial loss: 0.801297, acc: 0.453125]
1048: [discriminator loss: 0.515725, acc: 0.750000] [adversarial loss: 1.612807, acc: 0.062500]
1049: [discriminator loss: 0.557761, acc: 0.734375] [adversarial loss: 0.830821, acc: 0.468750]
1050: [discriminator loss: 0.552143, acc: 0.679688] [adversarial loss: 1.967084, acc: 0.000000]
1051: [discriminator loss: 0.673055, acc: 0.625000] [adversarial loss: 0.594509, acc: 0.687500]
1052: [discriminator loss: 0.655233, acc: 0.625000] [adversarial loss: 1.781240, acc: 0.000000]
1053: [discriminator loss: 0.589967, acc: 0.687500] [adversarial loss: 0.842718, acc: 0.390625]
1054: [discriminator loss: 0.551551, acc: 0.726562] [adversarial loss: 1.384283, acc: 0.078125]
1055: [discriminator loss: 0.571027, acc: 0.695312] [adversarial loss: 0.968459, acc: 0.296875]
1056: [discriminator loss: 0.513245, acc: 0.757812] [adversarial loss: 1.595539, acc: 0.078125]
1057: [discriminator loss: 0.533010, acc: 0.742188] [adversarial loss: 0.955852, acc: 0.281250]
1058: [discriminator loss: 0.508894, acc: 0.734375] [adversarial loss: 1.401133, acc: 0.109375]
1059: [discriminator loss: 0.492034, acc: 0.750000] [adversarial loss: 1.351076, acc: 0.078125]
1060: [discriminator loss: 0.471628, acc: 0.812500] [adversarial loss: 1.064976, acc: 0.265625]
1061: [discriminator loss: 0.551606, acc: 0.687500] [adversarial loss: 1.297480, acc: 0.171875]
1062: [discriminator loss: 0.479517, acc: 0.773438] [adversarial loss: 0.889106, acc: 0.296875]
1063: [discriminator loss: 0.513321, acc: 0.773438] [adversarial loss: 1.197739, acc: 0.125000]
1064: [discriminator loss: 0.480310, acc: 0.804688] [adversarial loss: 0.992150, acc: 0.343750]
1065: [discriminator loss: 0.518897, acc: 0.750000] [adversarial loss: 1.425485, acc: 0.156250]
1066: [discriminator loss: 0.520752, acc: 0.750000] [adversarial loss: 0.892831, acc: 0.343750]
1067: [discriminator loss: 0.527366, acc: 0.750000] [adversarial loss: 1.657677, acc: 0.031250]
1068: [discriminator loss: 0.545881, acc: 0.734375] [adversarial loss: 0.849917, acc: 0.453125]
1069: [discriminator loss: 0.631227, acc: 0.703125] [adversarial loss: 1.747574, acc: 0.031250]
1070: [discriminator loss: 0.536127, acc: 0.664062] [adversarial loss: 0.803354, acc: 0.484375]
1071: [discriminator loss: 0.516424, acc: 0.734375] [adversarial loss: 1.602935, acc: 0.109375]
1072: [discriminator loss: 0.506450, acc: 0.757812] [adversarial loss: 0.951292, acc: 0.390625]
1073: [discriminator loss: 0.512611, acc: 0.781250] [adversarial loss: 1.260476, acc: 0.234375]
1074: [discriminator loss: 0.564667, acc: 0.757812] [adversarial loss: 0.981933, acc: 0.250000]
1075: [discriminator loss: 0.524418, acc: 0.750000] [adversarial loss: 1.490922, acc: 0.062500]
1076: [discriminator loss: 0.498713, acc: 0.765625] [adversarial loss: 0.887422, acc: 0.375000]
1077: [discriminator loss: 0.569096, acc: 0.750000] [adversarial loss: 1.424434, acc: 0.187500]
1078: [discriminator loss: 0.563653, acc: 0.687500] [adversarial loss: 0.842241, acc: 0.468750]
1079: [discriminator loss: 0.562788, acc: 0.718750] [adversarial loss: 1.918514, acc: 0.031250]
1080: [discriminator loss: 0.593198, acc: 0.640625] [adversarial loss: 0.714413, acc: 0.625000]
1081: [discriminator loss: 0.627149, acc: 0.679688] [adversarial loss: 1.629329, acc: 0.062500]
1082: [discriminator loss: 0.516017, acc: 0.726562] [adversarial loss: 0.801161, acc: 0.437500]
1083: [discriminator loss: 0.542791, acc: 0.703125] [adversarial loss: 1.513324, acc: 0.156250]
1084: [discriminator loss: 0.497365, acc: 0.765625] [adversarial loss: 0.905469, acc: 0.390625]
1085: [discriminator loss: 0.569833, acc: 0.734375] [adversarial loss: 1.593607, acc: 0.093750]
1086: [discriminator loss: 0.547055, acc: 0.718750] [adversarial loss: 1.266236, acc: 0.218750]
1087: [discriminator loss: 0.500150, acc: 0.757812] [adversarial loss: 1.186795, acc: 0.203125]
1088: [discriminator loss: 0.617335, acc: 0.671875] [adversarial loss: 0.917959, acc: 0.343750]
1089: [discriminator loss: 0.489474, acc: 0.789062] [adversarial loss: 1.116597, acc: 0.203125]
1090: [discriminator loss: 0.495066, acc: 0.750000] [adversarial loss: 0.959120, acc: 0.328125]
1091: [discriminator loss: 0.469930, acc: 0.781250] [adversarial loss: 1.707933, acc: 0.078125]
1092: [discriminator loss: 0.621374, acc: 0.632812] [adversarial loss: 0.818206, acc: 0.437500]
1093: [discriminator loss: 0.595274, acc: 0.664062] [adversarial loss: 1.610977, acc: 0.078125]
1094: [discriminator loss: 0.615089, acc: 0.632812] [adversarial loss: 0.830777, acc: 0.390625]
1095: [discriminator loss: 0.544668, acc: 0.695312] [adversarial loss: 1.388351, acc: 0.109375]
1096: [discriminator loss: 0.520806, acc: 0.734375] [adversarial loss: 0.905645, acc: 0.375000]
1097: [discriminator loss: 0.504652, acc: 0.734375] [adversarial loss: 1.515866, acc: 0.125000]
1098: [discriminator loss: 0.516601, acc: 0.703125] [adversarial loss: 1.056817, acc: 0.281250]
1099: [discriminator loss: 0.480172, acc: 0.812500] [adversarial loss: 1.218891, acc: 0.125000]
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1101: [discriminator loss: 0.533793, acc: 0.773438] [adversarial loss: 0.963794, acc: 0.421875]
1102: [discriminator loss: 0.602573, acc: 0.601562] [adversarial loss: 1.544152, acc: 0.062500]
1103: [discriminator loss: 0.558869, acc: 0.750000] [adversarial loss: 0.974248, acc: 0.296875]
1104: [discriminator loss: 0.530819, acc: 0.750000] [adversarial loss: 1.135650, acc: 0.203125]
1105: [discriminator loss: 0.463647, acc: 0.773438] [adversarial loss: 1.080069, acc: 0.250000]
1106: [discriminator loss: 0.538963, acc: 0.718750] [adversarial loss: 1.263295, acc: 0.171875]
1107: [discriminator loss: 0.422097, acc: 0.796875] [adversarial loss: 0.887095, acc: 0.421875]
1108: [discriminator loss: 0.548991, acc: 0.710938] [adversarial loss: 1.813377, acc: 0.015625]
1109: [discriminator loss: 0.543298, acc: 0.703125] [adversarial loss: 0.652244, acc: 0.625000]
1110: [discriminator loss: 0.562000, acc: 0.679688] [adversarial loss: 1.581333, acc: 0.078125]
1111: [discriminator loss: 0.528457, acc: 0.742188] [adversarial loss: 0.788022, acc: 0.500000]
1112: [discriminator loss: 0.599499, acc: 0.664062] [adversarial loss: 1.459519, acc: 0.125000]
1113: [discriminator loss: 0.563803, acc: 0.718750] [adversarial loss: 0.820298, acc: 0.437500]
1114: [discriminator loss: 0.560556, acc: 0.671875] [adversarial loss: 1.458404, acc: 0.125000]
1115: [discriminator loss: 0.521298, acc: 0.750000] [adversarial loss: 0.831089, acc: 0.500000]
1116: [discriminator loss: 0.600901, acc: 0.632812] [adversarial loss: 1.362796, acc: 0.125000]
1117: [discriminator loss: 0.538836, acc: 0.703125] [adversarial loss: 1.035721, acc: 0.328125]
1118: [discriminator loss: 0.602419, acc: 0.679688] [adversarial loss: 1.021707, acc: 0.343750]
1119: [discriminator loss: 0.474392, acc: 0.835938] [adversarial loss: 1.453713, acc: 0.093750]
1120: [discriminator loss: 0.514054, acc: 0.710938] [adversarial loss: 0.801614, acc: 0.453125]
1121: [discriminator loss: 0.585068, acc: 0.703125] [adversarial loss: 1.816485, acc: 0.046875]
1122: [discriminator loss: 0.504552, acc: 0.734375] [adversarial loss: 0.815222, acc: 0.390625]
1123: [discriminator loss: 0.557877, acc: 0.695312] [adversarial loss: 1.551295, acc: 0.093750]
1124: [discriminator loss: 0.585585, acc: 0.718750] [adversarial loss: 0.809944, acc: 0.515625]
1125: [discriminator loss: 0.489104, acc: 0.781250] [adversarial loss: 1.350858, acc: 0.125000]
1126: [discriminator loss: 0.506878, acc: 0.734375] [adversarial loss: 0.769530, acc: 0.484375]
1127: [discriminator loss: 0.580213, acc: 0.648438] [adversarial loss: 1.686862, acc: 0.046875]
1128: [discriminator loss: 0.578720, acc: 0.687500] [adversarial loss: 0.759849, acc: 0.546875]
1129: [discriminator loss: 0.525386, acc: 0.718750] [adversarial loss: 1.769947, acc: 0.062500]
1130: [discriminator loss: 0.535232, acc: 0.718750] [adversarial loss: 0.997912, acc: 0.375000]
1131: [discriminator loss: 0.578541, acc: 0.734375] [adversarial loss: 1.620290, acc: 0.062500]
1132: [discriminator loss: 0.541406, acc: 0.718750] [adversarial loss: 0.926987, acc: 0.375000]
1133: [discriminator loss: 0.548897, acc: 0.718750] [adversarial loss: 1.360087, acc: 0.218750]
1134: [discriminator loss: 0.495759, acc: 0.757812] [adversarial loss: 1.026182, acc: 0.312500]
1135: [discriminator loss: 0.497353, acc: 0.742188] [adversarial loss: 1.156078, acc: 0.203125]
1136: [discriminator loss: 0.570032, acc: 0.710938] [adversarial loss: 1.298592, acc: 0.187500]
1137: [discriminator loss: 0.544514, acc: 0.734375] [adversarial loss: 0.824240, acc: 0.437500]
1138: [discriminator loss: 0.498463, acc: 0.765625] [adversarial loss: 1.414918, acc: 0.093750]
1139: [discriminator loss: 0.521977, acc: 0.734375] [adversarial loss: 0.845906, acc: 0.406250]
1140: [discriminator loss: 0.474163, acc: 0.789062] [adversarial loss: 1.388336, acc: 0.187500]
1141: [discriminator loss: 0.593610, acc: 0.710938] [adversarial loss: 0.827239, acc: 0.406250]
1142: [discriminator loss: 0.540930, acc: 0.726562] [adversarial loss: 1.578713, acc: 0.078125]
1143: [discriminator loss: 0.563585, acc: 0.718750] [adversarial loss: 0.733076, acc: 0.468750]
1144: [discriminator loss: 0.594346, acc: 0.703125] [adversarial loss: 1.385410, acc: 0.078125]
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1893: [discriminator loss: 0.488253, acc: 0.781250] [adversarial loss: 1.680132, acc: 0.140625]
1894: [discriminator loss: 0.480419, acc: 0.773438] [adversarial loss: 0.922931, acc: 0.453125]
1895: [discriminator loss: 0.536648, acc: 0.718750] [adversarial loss: 1.672452, acc: 0.078125]
1896: [discriminator loss: 0.561928, acc: 0.734375] [adversarial loss: 1.084478, acc: 0.328125]
1897: [discriminator loss: 0.573978, acc: 0.679688] [adversarial loss: 1.687111, acc: 0.093750]
1898: [discriminator loss: 0.510299, acc: 0.710938] [adversarial loss: 0.932162, acc: 0.406250]
1899: [discriminator loss: 0.577196, acc: 0.671875] [adversarial loss: 1.410055, acc: 0.156250]
1900: [discriminator loss: 0.511902, acc: 0.742188] [adversarial loss: 1.237168, acc: 0.218750]
1901: [discriminator loss: 0.451406, acc: 0.820312] [adversarial loss: 1.467640, acc: 0.109375]
1902: [discriminator loss: 0.439106, acc: 0.812500] [adversarial loss: 1.276708, acc: 0.234375]
1903: [discriminator loss: 0.504071, acc: 0.734375] [adversarial loss: 1.172544, acc: 0.250000]
1904: [discriminator loss: 0.533560, acc: 0.671875] [adversarial loss: 1.399736, acc: 0.125000]
1905: [discriminator loss: 0.460316, acc: 0.789062] [adversarial loss: 1.171579, acc: 0.312500]
1906: [discriminator loss: 0.532847, acc: 0.718750] [adversarial loss: 1.399797, acc: 0.203125]
1907: [discriminator loss: 0.588776, acc: 0.671875] [adversarial loss: 1.130257, acc: 0.250000]
1908: [discriminator loss: 0.510142, acc: 0.757812] [adversarial loss: 1.392326, acc: 0.234375]
1909: [discriminator loss: 0.498452, acc: 0.710938] [adversarial loss: 1.240183, acc: 0.203125]
1910: [discriminator loss: 0.567151, acc: 0.687500] [adversarial loss: 1.663191, acc: 0.093750]
1911: [discriminator loss: 0.540921, acc: 0.726562] [adversarial loss: 0.820712, acc: 0.500000]
1912: [discriminator loss: 0.592245, acc: 0.664062] [adversarial loss: 2.010419, acc: 0.062500]
1913: [discriminator loss: 0.602228, acc: 0.703125] [adversarial loss: 0.902294, acc: 0.375000]
1914: [discriminator loss: 0.525834, acc: 0.734375] [adversarial loss: 1.416817, acc: 0.109375]
1915: [discriminator loss: 0.492927, acc: 0.773438] [adversarial loss: 1.091194, acc: 0.250000]
1916: [discriminator loss: 0.494884, acc: 0.773438] [adversarial loss: 1.636819, acc: 0.125000]
1917: [discriminator loss: 0.514029, acc: 0.718750] [adversarial loss: 0.980693, acc: 0.390625]
1918: [discriminator loss: 0.502737, acc: 0.750000] [adversarial loss: 1.296918, acc: 0.171875]
1919: [discriminator loss: 0.457069, acc: 0.804688] [adversarial loss: 1.187756, acc: 0.171875]
1920: [discriminator loss: 0.483602, acc: 0.804688] [adversarial loss: 1.620337, acc: 0.093750]
1921: [discriminator loss: 0.534830, acc: 0.765625] [adversarial loss: 0.902297, acc: 0.359375]
1922: [discriminator loss: 0.519020, acc: 0.726562] [adversarial loss: 1.804307, acc: 0.109375]
1923: [discriminator loss: 0.567640, acc: 0.718750] [adversarial loss: 1.094957, acc: 0.343750]
1924: [discriminator loss: 0.627876, acc: 0.679688] [adversarial loss: 1.471498, acc: 0.187500]
1925: [discriminator loss: 0.510218, acc: 0.773438] [adversarial loss: 0.923703, acc: 0.375000]
1926: [discriminator loss: 0.439004, acc: 0.796875] [adversarial loss: 1.640216, acc: 0.125000]
1927: [discriminator loss: 0.555776, acc: 0.726562] [adversarial loss: 1.314246, acc: 0.218750]
1928: [discriminator loss: 0.539194, acc: 0.757812] [adversarial loss: 1.583556, acc: 0.093750]
1929: [discriminator loss: 0.447986, acc: 0.820312] [adversarial loss: 0.895749, acc: 0.390625]
1930: [discriminator loss: 0.562437, acc: 0.742188] [adversarial loss: 1.605681, acc: 0.171875]
1931: [discriminator loss: 0.542619, acc: 0.687500] [adversarial loss: 0.778631, acc: 0.531250]
1932: [discriminator loss: 0.621165, acc: 0.671875] [adversarial loss: 2.079237, acc: 0.062500]
1933: [discriminator loss: 0.539583, acc: 0.726562] [adversarial loss: 0.896137, acc: 0.359375]
1934: [discriminator loss: 0.516971, acc: 0.695312] [adversarial loss: 1.519401, acc: 0.140625]
1935: [discriminator loss: 0.533500, acc: 0.750000] [adversarial loss: 1.016056, acc: 0.312500]
1936: [discriminator loss: 0.505088, acc: 0.781250] [adversarial loss: 1.328640, acc: 0.187500]
1937: [discriminator loss: 0.539531, acc: 0.742188] [adversarial loss: 1.540221, acc: 0.140625]
1938: [discriminator loss: 0.577428, acc: 0.687500] [adversarial loss: 1.299504, acc: 0.234375]
1939: [discriminator loss: 0.461697, acc: 0.773438] [adversarial loss: 1.180753, acc: 0.234375]
1940: [discriminator loss: 0.533182, acc: 0.742188] [adversarial loss: 1.320598, acc: 0.156250]
1941: [discriminator loss: 0.479671, acc: 0.757812] [adversarial loss: 1.175293, acc: 0.187500]
1942: [discriminator loss: 0.462634, acc: 0.781250] [adversarial loss: 1.232088, acc: 0.218750]
1943: [discriminator loss: 0.450671, acc: 0.789062] [adversarial loss: 1.614012, acc: 0.031250]
1944: [discriminator loss: 0.495178, acc: 0.734375] [adversarial loss: 1.079028, acc: 0.250000]
1945: [discriminator loss: 0.550721, acc: 0.742188] [adversarial loss: 1.360641, acc: 0.109375]
1946: [discriminator loss: 0.439327, acc: 0.796875] [adversarial loss: 0.844502, acc: 0.421875]
1947: [discriminator loss: 0.540218, acc: 0.734375] [adversarial loss: 1.605267, acc: 0.156250]
1948: [discriminator loss: 0.490865, acc: 0.765625] [adversarial loss: 0.868283, acc: 0.468750]
1949: [discriminator loss: 0.517246, acc: 0.734375] [adversarial loss: 1.906643, acc: 0.078125]
1950: [discriminator loss: 0.558304, acc: 0.687500] [adversarial loss: 0.796643, acc: 0.468750]
1951: [discriminator loss: 0.610536, acc: 0.671875] [adversarial loss: 1.576996, acc: 0.078125]
1952: [discriminator loss: 0.523516, acc: 0.703125] [adversarial loss: 0.945836, acc: 0.421875]
1953: [discriminator loss: 0.551973, acc: 0.726562] [adversarial loss: 1.770133, acc: 0.062500]
1954: [discriminator loss: 0.494557, acc: 0.789062] [adversarial loss: 0.956592, acc: 0.375000]
1955: [discriminator loss: 0.466966, acc: 0.781250] [adversarial loss: 1.600280, acc: 0.078125]
1956: [discriminator loss: 0.553028, acc: 0.726562] [adversarial loss: 1.069772, acc: 0.234375]
1957: [discriminator loss: 0.547964, acc: 0.726562] [adversarial loss: 1.453260, acc: 0.156250]
1958: [discriminator loss: 0.536185, acc: 0.718750] [adversarial loss: 1.112315, acc: 0.312500]
1959: [discriminator loss: 0.492270, acc: 0.757812] [adversarial loss: 1.833516, acc: 0.062500]
1960: [discriminator loss: 0.517906, acc: 0.757812] [adversarial loss: 0.977515, acc: 0.437500]
1961: [discriminator loss: 0.520806, acc: 0.773438] [adversarial loss: 1.463321, acc: 0.171875]
1962: [discriminator loss: 0.566709, acc: 0.671875] [adversarial loss: 0.969060, acc: 0.421875]
1963: [discriminator loss: 0.562909, acc: 0.726562] [adversarial loss: 1.857386, acc: 0.062500]
1964: [discriminator loss: 0.558873, acc: 0.718750] [adversarial loss: 0.924047, acc: 0.390625]
1965: [discriminator loss: 0.561236, acc: 0.687500] [adversarial loss: 1.686921, acc: 0.062500]
1966: [discriminator loss: 0.507893, acc: 0.734375] [adversarial loss: 1.284359, acc: 0.265625]
1967: [discriminator loss: 0.498108, acc: 0.796875] [adversarial loss: 1.438246, acc: 0.171875]
1968: [discriminator loss: 0.505645, acc: 0.734375] [adversarial loss: 1.134205, acc: 0.250000]
1969: [discriminator loss: 0.481111, acc: 0.765625] [adversarial loss: 1.667711, acc: 0.046875]
1970: [discriminator loss: 0.545369, acc: 0.718750] [adversarial loss: 1.150174, acc: 0.187500]
1971: [discriminator loss: 0.490419, acc: 0.796875] [adversarial loss: 1.782159, acc: 0.125000]
1972: [discriminator loss: 0.621071, acc: 0.679688] [adversarial loss: 0.898905, acc: 0.375000]
1973: [discriminator loss: 0.503752, acc: 0.757812] [adversarial loss: 1.639824, acc: 0.187500]
1974: [discriminator loss: 0.482864, acc: 0.757812] [adversarial loss: 1.147116, acc: 0.296875]
1975: [discriminator loss: 0.550550, acc: 0.710938] [adversarial loss: 1.381073, acc: 0.140625]
1976: [discriminator loss: 0.604160, acc: 0.703125] [adversarial loss: 1.035599, acc: 0.359375]
1977: [discriminator loss: 0.490709, acc: 0.781250] [adversarial loss: 1.562604, acc: 0.125000]
1978: [discriminator loss: 0.554946, acc: 0.718750] [adversarial loss: 0.904902, acc: 0.421875]
1979: [discriminator loss: 0.512573, acc: 0.750000] [adversarial loss: 1.550781, acc: 0.093750]
1980: [discriminator loss: 0.481158, acc: 0.773438] [adversarial loss: 0.981217, acc: 0.328125]
1981: [discriminator loss: 0.583232, acc: 0.679688] [adversarial loss: 1.564352, acc: 0.062500]
1982: [discriminator loss: 0.557816, acc: 0.734375] [adversarial loss: 0.951590, acc: 0.375000]
1983: [discriminator loss: 0.447595, acc: 0.835938] [adversarial loss: 1.257904, acc: 0.125000]
1984: [discriminator loss: 0.482171, acc: 0.742188] [adversarial loss: 1.047111, acc: 0.296875]
1985: [discriminator loss: 0.513522, acc: 0.765625] [adversarial loss: 1.527978, acc: 0.046875]
1986: [discriminator loss: 0.483780, acc: 0.703125] [adversarial loss: 0.951841, acc: 0.453125]
1987: [discriminator loss: 0.500016, acc: 0.742188] [adversarial loss: 1.625463, acc: 0.093750]
1988: [discriminator loss: 0.545895, acc: 0.710938] [adversarial loss: 0.868320, acc: 0.375000]
1989: [discriminator loss: 0.545827, acc: 0.687500] [adversarial loss: 1.706886, acc: 0.031250]
1990: [discriminator loss: 0.574872, acc: 0.695312] [adversarial loss: 0.716156, acc: 0.609375]
1991: [discriminator loss: 0.608163, acc: 0.679688] [adversarial loss: 1.868484, acc: 0.093750]
1992: [discriminator loss: 0.546576, acc: 0.710938] [adversarial loss: 1.012617, acc: 0.359375]
1993: [discriminator loss: 0.535659, acc: 0.710938] [adversarial loss: 1.902084, acc: 0.062500]
1994: [discriminator loss: 0.473965, acc: 0.773438] [adversarial loss: 1.181398, acc: 0.234375]
1995: [discriminator loss: 0.466191, acc: 0.773438] [adversarial loss: 1.759309, acc: 0.031250]
1996: [discriminator loss: 0.525534, acc: 0.742188] [adversarial loss: 1.123009, acc: 0.171875]
1997: [discriminator loss: 0.494624, acc: 0.750000] [adversarial loss: 1.518824, acc: 0.078125]
1998: [discriminator loss: 0.533724, acc: 0.726562] [adversarial loss: 1.090928, acc: 0.296875]
1999: [discriminator loss: 0.545296, acc: 0.734375] [adversarial loss: 1.413797, acc: 0.140625]
2000: [discriminator loss: 0.491143, acc: 0.789062] [adversarial loss: 1.018421, acc: 0.265625]
2001: [discriminator loss: 0.580885, acc: 0.726562] [adversarial loss: 1.556525, acc: 0.125000]
2002: [discriminator loss: 0.530203, acc: 0.742188] [adversarial loss: 0.976827, acc: 0.265625]
2003: [discriminator loss: 0.494859, acc: 0.757812] [adversarial loss: 1.373646, acc: 0.203125]
2004: [discriminator loss: 0.524518, acc: 0.742188] [adversarial loss: 1.002522, acc: 0.343750]
2005: [discriminator loss: 0.448715, acc: 0.828125] [adversarial loss: 1.512068, acc: 0.046875]
2006: [discriminator loss: 0.456386, acc: 0.789062] [adversarial loss: 0.987013, acc: 0.265625]
2007: [discriminator loss: 0.486156, acc: 0.773438] [adversarial loss: 1.708798, acc: 0.078125]
2008: [discriminator loss: 0.477568, acc: 0.781250] [adversarial loss: 0.753099, acc: 0.578125]
2009: [discriminator loss: 0.572826, acc: 0.718750] [adversarial loss: 1.685494, acc: 0.093750]
2010: [discriminator loss: 0.503544, acc: 0.765625] [adversarial loss: 1.136460, acc: 0.250000]
2011: [discriminator loss: 0.587668, acc: 0.656250] [adversarial loss: 1.320811, acc: 0.171875]
2012: [discriminator loss: 0.510442, acc: 0.773438] [adversarial loss: 1.286155, acc: 0.218750]
2013: [discriminator loss: 0.486574, acc: 0.757812] [adversarial loss: 1.461965, acc: 0.093750]
2014: [discriminator loss: 0.478124, acc: 0.750000] [adversarial loss: 1.523940, acc: 0.046875]
2015: [discriminator loss: 0.495171, acc: 0.750000] [adversarial loss: 0.878382, acc: 0.468750]
2016: [discriminator loss: 0.529274, acc: 0.742188] [adversarial loss: 1.449415, acc: 0.218750]
2017: [discriminator loss: 0.508984, acc: 0.773438] [adversarial loss: 1.338484, acc: 0.109375]
2018: [discriminator loss: 0.552681, acc: 0.703125] [adversarial loss: 1.575173, acc: 0.218750]
2019: [discriminator loss: 0.625467, acc: 0.648438] [adversarial loss: 0.673381, acc: 0.593750]
2020: [discriminator loss: 0.480039, acc: 0.750000] [adversarial loss: 1.946658, acc: 0.046875]
2021: [discriminator loss: 0.563733, acc: 0.734375] [adversarial loss: 1.018849, acc: 0.343750]
2022: [discriminator loss: 0.499655, acc: 0.765625] [adversarial loss: 1.584412, acc: 0.125000]
2023: [discriminator loss: 0.556192, acc: 0.679688] [adversarial loss: 0.896773, acc: 0.421875]
2024: [discriminator loss: 0.592598, acc: 0.718750] [adversarial loss: 1.246279, acc: 0.234375]
2025: [discriminator loss: 0.490713, acc: 0.773438] [adversarial loss: 1.338308, acc: 0.187500]
2026: [discriminator loss: 0.557981, acc: 0.703125] [adversarial loss: 1.282182, acc: 0.203125]
2027: [discriminator loss: 0.558362, acc: 0.710938] [adversarial loss: 1.418020, acc: 0.109375]
2028: [discriminator loss: 0.473413, acc: 0.734375] [adversarial loss: 1.093661, acc: 0.234375]
2029: [discriminator loss: 0.513814, acc: 0.765625] [adversarial loss: 1.213163, acc: 0.296875]
2030: [discriminator loss: 0.495552, acc: 0.734375] [adversarial loss: 1.727365, acc: 0.093750]
2031: [discriminator loss: 0.507249, acc: 0.757812] [adversarial loss: 1.491670, acc: 0.140625]
2032: [discriminator loss: 0.460359, acc: 0.773438] [adversarial loss: 1.115329, acc: 0.296875]
2033: [discriminator loss: 0.505641, acc: 0.773438] [adversarial loss: 1.149029, acc: 0.265625]
2034: [discriminator loss: 0.432900, acc: 0.804688] [adversarial loss: 1.598868, acc: 0.125000]
2035: [discriminator loss: 0.492057, acc: 0.718750] [adversarial loss: 0.969279, acc: 0.406250]
2036: [discriminator loss: 0.577261, acc: 0.671875] [adversarial loss: 1.723994, acc: 0.078125]
2037: [discriminator loss: 0.442484, acc: 0.804688] [adversarial loss: 1.080338, acc: 0.359375]
2038: [discriminator loss: 0.491888, acc: 0.765625] [adversarial loss: 1.863922, acc: 0.031250]
2039: [discriminator loss: 0.495701, acc: 0.734375] [adversarial loss: 1.051931, acc: 0.375000]
2040: [discriminator loss: 0.528931, acc: 0.726562] [adversarial loss: 1.397531, acc: 0.171875]
2041: [discriminator loss: 0.473415, acc: 0.843750] [adversarial loss: 1.279357, acc: 0.156250]
2042: [discriminator loss: 0.453014, acc: 0.781250] [adversarial loss: 1.270585, acc: 0.203125]
2043: [discriminator loss: 0.461479, acc: 0.781250] [adversarial loss: 1.348401, acc: 0.187500]
2044: [discriminator loss: 0.533144, acc: 0.734375] [adversarial loss: 0.861476, acc: 0.453125]
2045: [discriminator loss: 0.554626, acc: 0.695312] [adversarial loss: 1.999574, acc: 0.046875]
2046: [discriminator loss: 0.637360, acc: 0.695312] [adversarial loss: 0.823646, acc: 0.531250]
2047: [discriminator loss: 0.585564, acc: 0.687500] [adversarial loss: 1.750926, acc: 0.078125]
2048: [discriminator loss: 0.459393, acc: 0.781250] [adversarial loss: 1.005575, acc: 0.343750]
2049: [discriminator loss: 0.497649, acc: 0.710938] [adversarial loss: 1.394542, acc: 0.234375]
2050: [discriminator loss: 0.502023, acc: 0.726562] [adversarial loss: 1.145187, acc: 0.250000]
2051: [discriminator loss: 0.478062, acc: 0.781250] [adversarial loss: 0.964671, acc: 0.375000]
2052: [discriminator loss: 0.518847, acc: 0.726562] [adversarial loss: 1.042493, acc: 0.312500]
2053: [discriminator loss: 0.490431, acc: 0.796875] [adversarial loss: 1.401685, acc: 0.218750]
2054: [discriminator loss: 0.454146, acc: 0.773438] [adversarial loss: 1.104492, acc: 0.265625]
2055: [discriminator loss: 0.572810, acc: 0.687500] [adversarial loss: 1.348774, acc: 0.171875]
2056: [discriminator loss: 0.461602, acc: 0.750000] [adversarial loss: 0.919500, acc: 0.328125]
2057: [discriminator loss: 0.571470, acc: 0.718750] [adversarial loss: 1.808167, acc: 0.125000]
2058: [discriminator loss: 0.635754, acc: 0.718750] [adversarial loss: 0.780455, acc: 0.578125]
2059: [discriminator loss: 0.502626, acc: 0.703125] [adversarial loss: 1.878392, acc: 0.078125]
2060: [discriminator loss: 0.589249, acc: 0.726562] [adversarial loss: 0.914924, acc: 0.437500]
2061: [discriminator loss: 0.535271, acc: 0.679688] [adversarial loss: 1.670960, acc: 0.093750]
2062: [discriminator loss: 0.581164, acc: 0.687500] [adversarial loss: 0.965188, acc: 0.375000]
2063: [discriminator loss: 0.497561, acc: 0.773438] [adversarial loss: 1.602488, acc: 0.125000]
2064: [discriminator loss: 0.478007, acc: 0.773438] [adversarial loss: 1.109135, acc: 0.250000]
2065: [discriminator loss: 0.582067, acc: 0.671875] [adversarial loss: 1.429273, acc: 0.140625]
2066: [discriminator loss: 0.414907, acc: 0.835938] [adversarial loss: 1.252003, acc: 0.265625]
2067: [discriminator loss: 0.559703, acc: 0.757812] [adversarial loss: 1.668120, acc: 0.203125]
2068: [discriminator loss: 0.518766, acc: 0.757812] [adversarial loss: 0.975584, acc: 0.312500]
2069: [discriminator loss: 0.519400, acc: 0.750000] [adversarial loss: 1.682924, acc: 0.078125]
2070: [discriminator loss: 0.546508, acc: 0.718750] [adversarial loss: 0.982435, acc: 0.359375]
2071: [discriminator loss: 0.599662, acc: 0.640625] [adversarial loss: 1.694729, acc: 0.078125]
2072: [discriminator loss: 0.509708, acc: 0.789062] [adversarial loss: 1.062185, acc: 0.296875]
2073: [discriminator loss: 0.523190, acc: 0.734375] [adversarial loss: 1.355327, acc: 0.156250]
2074: [discriminator loss: 0.487271, acc: 0.812500] [adversarial loss: 1.100669, acc: 0.359375]
2075: [discriminator loss: 0.528212, acc: 0.718750] [adversarial loss: 1.585852, acc: 0.156250]
2076: [discriminator loss: 0.541737, acc: 0.726562] [adversarial loss: 1.135313, acc: 0.296875]
2077: [discriminator loss: 0.452516, acc: 0.828125] [adversarial loss: 1.391982, acc: 0.187500]
2078: [discriminator loss: 0.448962, acc: 0.789062] [adversarial loss: 1.393607, acc: 0.109375]
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2080: [discriminator loss: 0.509956, acc: 0.718750] [adversarial loss: 1.453037, acc: 0.156250]
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8423: [discriminator loss: 0.502083, acc: 0.796875] [adversarial loss: 1.125131, acc: 0.296875]
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8436: [discriminator loss: 0.502760, acc: 0.726562] [adversarial loss: 1.257782, acc: 0.171875]
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8439: [discriminator loss: 0.510913, acc: 0.726562] [adversarial loss: 1.208665, acc: 0.234375]
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8458: [discriminator loss: 0.608230, acc: 0.703125] [adversarial loss: 1.014869, acc: 0.375000]
8459: [discriminator loss: 0.531254, acc: 0.734375] [adversarial loss: 1.181297, acc: 0.218750]
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8462: [discriminator loss: 0.592705, acc: 0.656250] [adversarial loss: 0.794691, acc: 0.562500]
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8465: [discriminator loss: 0.550642, acc: 0.726562] [adversarial loss: 1.333110, acc: 0.140625]
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8469: [discriminator loss: 0.522826, acc: 0.710938] [adversarial loss: 1.179226, acc: 0.203125]
8470: [discriminator loss: 0.606117, acc: 0.687500] [adversarial loss: 1.022625, acc: 0.296875]
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8474: [discriminator loss: 0.586064, acc: 0.664062] [adversarial loss: 1.220825, acc: 0.218750]
8475: [discriminator loss: 0.540365, acc: 0.726562] [adversarial loss: 1.052118, acc: 0.265625]
8476: [discriminator loss: 0.627136, acc: 0.703125] [adversarial loss: 1.232697, acc: 0.234375]
8477: [discriminator loss: 0.567640, acc: 0.687500] [adversarial loss: 0.951085, acc: 0.375000]
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8479: [discriminator loss: 0.537548, acc: 0.726562] [adversarial loss: 0.878928, acc: 0.484375]
8480: [discriminator loss: 0.557691, acc: 0.718750] [adversarial loss: 1.379745, acc: 0.140625]
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8482: [discriminator loss: 0.500054, acc: 0.773438] [adversarial loss: 1.303155, acc: 0.265625]
8483: [discriminator loss: 0.515425, acc: 0.750000] [adversarial loss: 1.199650, acc: 0.250000]
8484: [discriminator loss: 0.500420, acc: 0.765625] [adversarial loss: 1.035956, acc: 0.328125]
8485: [discriminator loss: 0.564702, acc: 0.718750] [adversarial loss: 1.258615, acc: 0.265625]
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8488: [discriminator loss: 0.525963, acc: 0.718750] [adversarial loss: 0.918133, acc: 0.343750]
8489: [discriminator loss: 0.651013, acc: 0.617188] [adversarial loss: 1.514129, acc: 0.015625]
8490: [discriminator loss: 0.535431, acc: 0.718750] [adversarial loss: 0.857825, acc: 0.343750]
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8494: [discriminator loss: 0.545067, acc: 0.726562] [adversarial loss: 1.088485, acc: 0.250000]
8495: [discriminator loss: 0.497375, acc: 0.765625] [adversarial loss: 1.420897, acc: 0.171875]
8496: [discriminator loss: 0.578703, acc: 0.679688] [adversarial loss: 0.960430, acc: 0.312500]
8497: [discriminator loss: 0.543267, acc: 0.703125] [adversarial loss: 1.299206, acc: 0.203125]
8498: [discriminator loss: 0.607229, acc: 0.687500] [adversarial loss: 0.833119, acc: 0.437500]
8499: [discriminator loss: 0.603596, acc: 0.640625] [adversarial loss: 1.170059, acc: 0.250000]
8500: [discriminator loss: 0.618010, acc: 0.664062] [adversarial loss: 0.836784, acc: 0.484375]
8501: [discriminator loss: 0.612534, acc: 0.617188] [adversarial loss: 1.427635, acc: 0.109375]
8502: [discriminator loss: 0.594370, acc: 0.679688] [adversarial loss: 0.840794, acc: 0.406250]
8503: [discriminator loss: 0.575199, acc: 0.695312] [adversarial loss: 1.208662, acc: 0.109375]
8504: [discriminator loss: 0.495836, acc: 0.750000] [adversarial loss: 1.069030, acc: 0.328125]
8505: [discriminator loss: 0.582972, acc: 0.687500] [adversarial loss: 1.083618, acc: 0.343750]
8506: [discriminator loss: 0.480357, acc: 0.796875] [adversarial loss: 1.065368, acc: 0.281250]
8507: [discriminator loss: 0.600935, acc: 0.632812] [adversarial loss: 1.327646, acc: 0.156250]
8508: [discriminator loss: 0.611076, acc: 0.656250] [adversarial loss: 1.147491, acc: 0.250000]
8509: [discriminator loss: 0.492055, acc: 0.789062] [adversarial loss: 1.235690, acc: 0.203125]
8510: [discriminator loss: 0.569146, acc: 0.703125] [adversarial loss: 0.936069, acc: 0.312500]
8511: [discriminator loss: 0.517706, acc: 0.718750] [adversarial loss: 1.230501, acc: 0.171875]
8512: [discriminator loss: 0.635144, acc: 0.648438] [adversarial loss: 0.924418, acc: 0.359375]
8513: [discriminator loss: 0.511307, acc: 0.742188] [adversarial loss: 1.372327, acc: 0.156250]
8514: [discriminator loss: 0.531058, acc: 0.710938] [adversarial loss: 1.022557, acc: 0.328125]
8515: [discriminator loss: 0.569580, acc: 0.671875] [adversarial loss: 1.569109, acc: 0.125000]
8516: [discriminator loss: 0.597315, acc: 0.695312] [adversarial loss: 0.982629, acc: 0.359375]
8517: [discriminator loss: 0.488961, acc: 0.796875] [adversarial loss: 1.324517, acc: 0.171875]
8518: [discriminator loss: 0.543167, acc: 0.742188] [adversarial loss: 1.019697, acc: 0.265625]
8519: [discriminator loss: 0.450492, acc: 0.828125] [adversarial loss: 1.051530, acc: 0.265625]
8520: [discriminator loss: 0.456131, acc: 0.789062] [adversarial loss: 1.072533, acc: 0.312500]
8521: [discriminator loss: 0.526031, acc: 0.710938] [adversarial loss: 1.199434, acc: 0.218750]
8522: [discriminator loss: 0.595595, acc: 0.687500] [adversarial loss: 1.006613, acc: 0.343750]
8523: [discriminator loss: 0.567001, acc: 0.718750] [adversarial loss: 1.484036, acc: 0.093750]
8524: [discriminator loss: 0.590907, acc: 0.703125] [adversarial loss: 0.938854, acc: 0.359375]
8525: [discriminator loss: 0.521058, acc: 0.710938] [adversarial loss: 1.406826, acc: 0.156250]
8526: [discriminator loss: 0.608188, acc: 0.710938] [adversarial loss: 0.684988, acc: 0.593750]
8527: [discriminator loss: 0.570004, acc: 0.726562] [adversarial loss: 1.497669, acc: 0.109375]
8528: [discriminator loss: 0.526795, acc: 0.710938] [adversarial loss: 1.035423, acc: 0.265625]
8529: [discriminator loss: 0.587987, acc: 0.710938] [adversarial loss: 1.337486, acc: 0.125000]
8530: [discriminator loss: 0.550106, acc: 0.695312] [adversarial loss: 0.822302, acc: 0.484375]
8531: [discriminator loss: 0.590266, acc: 0.718750] [adversarial loss: 1.487812, acc: 0.156250]
8532: [discriminator loss: 0.657828, acc: 0.578125] [adversarial loss: 1.092420, acc: 0.281250]
8533: [discriminator loss: 0.526577, acc: 0.742188] [adversarial loss: 1.209785, acc: 0.218750]
8534: [discriminator loss: 0.543068, acc: 0.710938] [adversarial loss: 1.360903, acc: 0.140625]
8535: [discriminator loss: 0.584174, acc: 0.671875] [adversarial loss: 0.916408, acc: 0.359375]
8536: [discriminator loss: 0.613908, acc: 0.687500] [adversarial loss: 1.099060, acc: 0.265625]
8537: [discriminator loss: 0.631175, acc: 0.687500] [adversarial loss: 1.079003, acc: 0.359375]
8538: [discriminator loss: 0.534579, acc: 0.742188] [adversarial loss: 1.191406, acc: 0.234375]
8539: [discriminator loss: 0.521794, acc: 0.734375] [adversarial loss: 0.984036, acc: 0.375000]
8540: [discriminator loss: 0.533231, acc: 0.703125] [adversarial loss: 1.128394, acc: 0.312500]
8541: [discriminator loss: 0.497557, acc: 0.765625] [adversarial loss: 1.055379, acc: 0.343750]
8542: [discriminator loss: 0.526885, acc: 0.734375] [adversarial loss: 1.442334, acc: 0.218750]
8543: [discriminator loss: 0.623480, acc: 0.640625] [adversarial loss: 1.065055, acc: 0.296875]
8544: [discriminator loss: 0.556191, acc: 0.710938] [adversarial loss: 1.286781, acc: 0.265625]
8545: [discriminator loss: 0.626904, acc: 0.640625] [adversarial loss: 0.891214, acc: 0.406250]
8546: [discriminator loss: 0.566221, acc: 0.687500] [adversarial loss: 1.578954, acc: 0.140625]
8547: [discriminator loss: 0.597843, acc: 0.664062] [adversarial loss: 0.951435, acc: 0.281250]
8548: [discriminator loss: 0.584190, acc: 0.687500] [adversarial loss: 1.455012, acc: 0.171875]
8549: [discriminator loss: 0.548133, acc: 0.710938] [adversarial loss: 0.883792, acc: 0.375000]
8550: [discriminator loss: 0.550319, acc: 0.726562] [adversarial loss: 1.373327, acc: 0.125000]
8551: [discriminator loss: 0.580817, acc: 0.648438] [adversarial loss: 1.179621, acc: 0.171875]
8552: [discriminator loss: 0.490848, acc: 0.789062] [adversarial loss: 1.218801, acc: 0.218750]
8553: [discriminator loss: 0.536888, acc: 0.710938] [adversarial loss: 0.943142, acc: 0.312500]
8554: [discriminator loss: 0.559918, acc: 0.687500] [adversarial loss: 1.292776, acc: 0.171875]
8555: [discriminator loss: 0.568671, acc: 0.710938] [adversarial loss: 1.066319, acc: 0.328125]
8556: [discriminator loss: 0.611552, acc: 0.710938] [adversarial loss: 1.310970, acc: 0.125000]
8557: [discriminator loss: 0.563182, acc: 0.664062] [adversarial loss: 0.930320, acc: 0.375000]
8558: [discriminator loss: 0.537889, acc: 0.750000] [adversarial loss: 1.204879, acc: 0.171875]
8559: [discriminator loss: 0.599940, acc: 0.687500] [adversarial loss: 0.877002, acc: 0.390625]
8560: [discriminator loss: 0.500197, acc: 0.726562] [adversarial loss: 1.301651, acc: 0.203125]
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8562: [discriminator loss: 0.638680, acc: 0.617188] [adversarial loss: 1.450124, acc: 0.140625]
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8564: [discriminator loss: 0.530530, acc: 0.726562] [adversarial loss: 1.506494, acc: 0.140625]
8565: [discriminator loss: 0.500216, acc: 0.750000] [adversarial loss: 1.020538, acc: 0.265625]
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8571: [discriminator loss: 0.591340, acc: 0.726562] [adversarial loss: 1.342121, acc: 0.093750]
8572: [discriminator loss: 0.513166, acc: 0.757812] [adversarial loss: 1.150834, acc: 0.265625]
8573: [discriminator loss: 0.515968, acc: 0.781250] [adversarial loss: 1.086991, acc: 0.312500]
8574: [discriminator loss: 0.545721, acc: 0.734375] [adversarial loss: 1.112072, acc: 0.234375]
8575: [discriminator loss: 0.550678, acc: 0.679688] [adversarial loss: 1.174278, acc: 0.218750]
8576: [discriminator loss: 0.540424, acc: 0.750000] [adversarial loss: 1.031275, acc: 0.328125]
8577: [discriminator loss: 0.534666, acc: 0.757812] [adversarial loss: 1.257802, acc: 0.156250]
8578: [discriminator loss: 0.501424, acc: 0.757812] [adversarial loss: 1.082420, acc: 0.218750]
8579: [discriminator loss: 0.469546, acc: 0.781250] [adversarial loss: 1.075726, acc: 0.281250]
8580: [discriminator loss: 0.611883, acc: 0.687500] [adversarial loss: 1.375713, acc: 0.234375]
8581: [discriminator loss: 0.544631, acc: 0.710938] [adversarial loss: 0.873496, acc: 0.453125]
8582: [discriminator loss: 0.534179, acc: 0.742188] [adversarial loss: 1.361909, acc: 0.171875]
8583: [discriminator loss: 0.582150, acc: 0.695312] [adversarial loss: 0.720812, acc: 0.437500]
8584: [discriminator loss: 0.700474, acc: 0.593750] [adversarial loss: 1.633571, acc: 0.093750]
8585: [discriminator loss: 0.602687, acc: 0.625000] [adversarial loss: 1.003260, acc: 0.296875]
8586: [discriminator loss: 0.555915, acc: 0.687500] [adversarial loss: 1.282705, acc: 0.187500]
8587: [discriminator loss: 0.514562, acc: 0.726562] [adversarial loss: 1.229582, acc: 0.265625]
8588: [discriminator loss: 0.561197, acc: 0.703125] [adversarial loss: 1.160488, acc: 0.265625]
8589: [discriminator loss: 0.532004, acc: 0.765625] [adversarial loss: 1.112989, acc: 0.250000]
8590: [discriminator loss: 0.542973, acc: 0.703125] [adversarial loss: 1.161418, acc: 0.203125]
8591: [discriminator loss: 0.555738, acc: 0.750000] [adversarial loss: 1.226020, acc: 0.171875]
8592: [discriminator loss: 0.496221, acc: 0.750000] [adversarial loss: 1.083259, acc: 0.312500]
8593: [discriminator loss: 0.586329, acc: 0.703125] [adversarial loss: 1.161638, acc: 0.265625]
8594: [discriminator loss: 0.526816, acc: 0.726562] [adversarial loss: 1.193005, acc: 0.250000]
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10167: [discriminator loss: 0.565043, acc: 0.679688] [adversarial loss: 1.008713, acc: 0.421875]
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10169: [discriminator loss: 0.539563, acc: 0.726562] [adversarial loss: 0.916668, acc: 0.390625]
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10172: [discriminator loss: 0.617900, acc: 0.640625] [adversarial loss: 1.590364, acc: 0.203125]
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10174: [discriminator loss: 0.530790, acc: 0.710938] [adversarial loss: 1.257604, acc: 0.203125]
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10177: [discriminator loss: 0.575076, acc: 0.710938] [adversarial loss: 1.167630, acc: 0.281250]
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10217: [discriminator loss: 0.471431, acc: 0.789062] [adversarial loss: 1.079059, acc: 0.296875]
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10220: [discriminator loss: 0.582729, acc: 0.671875] [adversarial loss: 1.036386, acc: 0.312500]
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10258: [discriminator loss: 0.566645, acc: 0.695312] [adversarial loss: 1.296607, acc: 0.171875]
10259: [discriminator loss: 0.538240, acc: 0.718750] [adversarial loss: 0.990228, acc: 0.375000]
10260: [discriminator loss: 0.475466, acc: 0.828125] [adversarial loss: 1.148383, acc: 0.265625]
10261: [discriminator loss: 0.563345, acc: 0.664062] [adversarial loss: 1.177536, acc: 0.250000]
10262: [discriminator loss: 0.510908, acc: 0.789062] [adversarial loss: 1.296396, acc: 0.156250]
10263: [discriminator loss: 0.584952, acc: 0.656250] [adversarial loss: 1.115166, acc: 0.171875]
10264: [discriminator loss: 0.492879, acc: 0.726562] [adversarial loss: 1.137864, acc: 0.265625]
10265: [discriminator loss: 0.529970, acc: 0.757812] [adversarial loss: 1.333466, acc: 0.218750]
10266: [discriminator loss: 0.628330, acc: 0.648438] [adversarial loss: 1.053316, acc: 0.203125]
10267: [discriminator loss: 0.587072, acc: 0.648438] [adversarial loss: 1.521331, acc: 0.156250]
10268: [discriminator loss: 0.593538, acc: 0.679688] [adversarial loss: 0.842622, acc: 0.468750]
10269: [discriminator loss: 0.590884, acc: 0.695312] [adversarial loss: 1.805459, acc: 0.046875]
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10542: [discriminator loss: 0.580715, acc: 0.695312] [adversarial loss: 0.879732, acc: 0.421875]
10543: [discriminator loss: 0.590400, acc: 0.656250] [adversarial loss: 1.410059, acc: 0.109375]
10544: [discriminator loss: 0.620584, acc: 0.664062] [adversarial loss: 0.760973, acc: 0.531250]
10545: [discriminator loss: 0.619522, acc: 0.656250] [adversarial loss: 1.373042, acc: 0.234375]
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10549: [discriminator loss: 0.555748, acc: 0.726562] [adversarial loss: 1.232882, acc: 0.171875]
10550: [discriminator loss: 0.549610, acc: 0.703125] [adversarial loss: 0.856980, acc: 0.390625]
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10631: [discriminator loss: 0.595686, acc: 0.664062] [adversarial loss: 1.524425, acc: 0.078125]
10632: [discriminator loss: 0.555370, acc: 0.679688] [adversarial loss: 0.889422, acc: 0.468750]
10633: [discriminator loss: 0.571954, acc: 0.648438] [adversarial loss: 1.242401, acc: 0.140625]
10634: [discriminator loss: 0.586615, acc: 0.664062] [adversarial loss: 1.104598, acc: 0.312500]
10635: [discriminator loss: 0.580424, acc: 0.656250] [adversarial loss: 1.180084, acc: 0.187500]
10636: [discriminator loss: 0.617446, acc: 0.625000] [adversarial loss: 1.082662, acc: 0.218750]
10637: [discriminator loss: 0.609007, acc: 0.664062] [adversarial loss: 1.148575, acc: 0.218750]
10638: [discriminator loss: 0.549985, acc: 0.718750] [adversarial loss: 0.898824, acc: 0.375000]
10639: [discriminator loss: 0.636104, acc: 0.656250] [adversarial loss: 1.363842, acc: 0.156250]
10640: [discriminator loss: 0.505148, acc: 0.695312] [adversarial loss: 0.917493, acc: 0.468750]
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10818: [discriminator loss: 0.476765, acc: 0.773438] [adversarial loss: 0.975951, acc: 0.343750]
10819: [discriminator loss: 0.489700, acc: 0.765625] [adversarial loss: 1.327842, acc: 0.125000]
10820: [discriminator loss: 0.452080, acc: 0.812500] [adversarial loss: 1.143024, acc: 0.281250]
10821: [discriminator loss: 0.554306, acc: 0.726562] [adversarial loss: 1.230782, acc: 0.234375]
10822: [discriminator loss: 0.492449, acc: 0.757812] [adversarial loss: 1.284109, acc: 0.156250]
10823: [discriminator loss: 0.541448, acc: 0.703125] [adversarial loss: 1.245277, acc: 0.218750]
10824: [discriminator loss: 0.517108, acc: 0.710938] [adversarial loss: 1.211846, acc: 0.187500]
10825: [discriminator loss: 0.526170, acc: 0.742188] [adversarial loss: 0.978724, acc: 0.312500]
10826: [discriminator loss: 0.582340, acc: 0.703125] [adversarial loss: 1.141532, acc: 0.250000]
10827: [discriminator loss: 0.547563, acc: 0.703125] [adversarial loss: 1.249380, acc: 0.250000]
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11936: [discriminator loss: 0.553010, acc: 0.765625] [adversarial loss: 1.210519, acc: 0.265625]
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11939: [discriminator loss: 0.572328, acc: 0.664062] [adversarial loss: 1.190681, acc: 0.281250]
11940: [discriminator loss: 0.439348, acc: 0.804688] [adversarial loss: 0.864942, acc: 0.500000]
11941: [discriminator loss: 0.570325, acc: 0.656250] [adversarial loss: 1.487525, acc: 0.109375]
11942: [discriminator loss: 0.604867, acc: 0.742188] [adversarial loss: 1.107917, acc: 0.281250]
11943: [discriminator loss: 0.577264, acc: 0.687500] [adversarial loss: 1.391859, acc: 0.218750]
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13430: [discriminator loss: 0.565716, acc: 0.664062] [adversarial loss: 0.818278, acc: 0.546875]
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13514: [discriminator loss: 0.650233, acc: 0.703125] [adversarial loss: 1.042516, acc: 0.343750]
13515: [discriminator loss: 0.610664, acc: 0.726562] [adversarial loss: 1.411228, acc: 0.093750]
13516: [discriminator loss: 0.469913, acc: 0.742188] [adversarial loss: 0.902774, acc: 0.484375]
13517: [discriminator loss: 0.524403, acc: 0.710938] [adversarial loss: 1.278029, acc: 0.187500]
13518: [discriminator loss: 0.537522, acc: 0.687500] [adversarial loss: 1.166407, acc: 0.234375]
13519: [discriminator loss: 0.535387, acc: 0.679688] [adversarial loss: 1.323823, acc: 0.187500]
13520: [discriminator loss: 0.574928, acc: 0.687500] [adversarial loss: 1.092031, acc: 0.250000]
13521: [discriminator loss: 0.563759, acc: 0.695312] [adversarial loss: 1.331473, acc: 0.171875]
13522: [discriminator loss: 0.533349, acc: 0.734375] [adversarial loss: 1.294859, acc: 0.218750]
13523: [discriminator loss: 0.555347, acc: 0.710938] [adversarial loss: 1.092914, acc: 0.375000]
13524: [discriminator loss: 0.484507, acc: 0.734375] [adversarial loss: 1.213545, acc: 0.296875]
13525: [discriminator loss: 0.560485, acc: 0.695312] [adversarial loss: 0.983574, acc: 0.343750]
13526: [discriminator loss: 0.597061, acc: 0.656250] [adversarial loss: 1.573147, acc: 0.109375]
13527: [discriminator loss: 0.573002, acc: 0.671875] [adversarial loss: 0.888742, acc: 0.453125]
13528: [discriminator loss: 0.544477, acc: 0.765625] [adversarial loss: 1.524169, acc: 0.078125]
13529: [discriminator loss: 0.600268, acc: 0.671875] [adversarial loss: 0.948575, acc: 0.453125]
13530: [discriminator loss: 0.523610, acc: 0.718750] [adversarial loss: 1.413816, acc: 0.171875]
13531: [discriminator loss: 0.556227, acc: 0.664062] [adversarial loss: 0.956482, acc: 0.453125]
13532: [discriminator loss: 0.539462, acc: 0.718750] [adversarial loss: 1.252581, acc: 0.250000]
13533: [discriminator loss: 0.480545, acc: 0.765625] [adversarial loss: 1.144090, acc: 0.265625]
13534: [discriminator loss: 0.531212, acc: 0.703125] [adversarial loss: 1.048017, acc: 0.312500]
13535: [discriminator loss: 0.551858, acc: 0.703125] [adversarial loss: 1.293352, acc: 0.218750]
13536: [discriminator loss: 0.510565, acc: 0.750000] [adversarial loss: 0.927232, acc: 0.453125]
13537: [discriminator loss: 0.506084, acc: 0.781250] [adversarial loss: 1.231526, acc: 0.250000]
13538: [discriminator loss: 0.543358, acc: 0.726562] [adversarial loss: 0.957078, acc: 0.390625]
13539: [discriminator loss: 0.541839, acc: 0.710938] [adversarial loss: 1.356475, acc: 0.218750]
13540: [discriminator loss: 0.531425, acc: 0.726562] [adversarial loss: 1.115204, acc: 0.328125]
13541: [discriminator loss: 0.597587, acc: 0.710938] [adversarial loss: 1.150066, acc: 0.250000]
13542: [discriminator loss: 0.503007, acc: 0.750000] [adversarial loss: 1.087847, acc: 0.343750]
13543: [discriminator loss: 0.622232, acc: 0.625000] [adversarial loss: 1.403304, acc: 0.109375]
13544: [discriminator loss: 0.581734, acc: 0.671875] [adversarial loss: 0.981915, acc: 0.359375]
13545: [discriminator loss: 0.508795, acc: 0.726562] [adversarial loss: 1.447626, acc: 0.140625]
13546: [discriminator loss: 0.597588, acc: 0.671875] [adversarial loss: 0.800090, acc: 0.500000]
13547: [discriminator loss: 0.665874, acc: 0.640625] [adversarial loss: 1.602852, acc: 0.125000]
13548: [discriminator loss: 0.542045, acc: 0.703125] [adversarial loss: 0.808705, acc: 0.515625]
13549: [discriminator loss: 0.541091, acc: 0.742188] [adversarial loss: 1.447364, acc: 0.187500]
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13567: [discriminator loss: 0.558137, acc: 0.703125] [adversarial loss: 1.001637, acc: 0.343750]
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13582: [discriminator loss: 0.531726, acc: 0.773438] [adversarial loss: 1.074031, acc: 0.203125]
13583: [discriminator loss: 0.622914, acc: 0.632812] [adversarial loss: 1.335465, acc: 0.140625]
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13610: [discriminator loss: 0.594406, acc: 0.726562] [adversarial loss: 1.233954, acc: 0.171875]
13611: [discriminator loss: 0.511344, acc: 0.765625] [adversarial loss: 0.976385, acc: 0.375000]
13612: [discriminator loss: 0.564279, acc: 0.687500] [adversarial loss: 1.157075, acc: 0.218750]
13613: [discriminator loss: 0.553721, acc: 0.726562] [adversarial loss: 1.111763, acc: 0.312500]
13614: [discriminator loss: 0.522072, acc: 0.734375] [adversarial loss: 0.982004, acc: 0.390625]
13615: [discriminator loss: 0.553865, acc: 0.734375] [adversarial loss: 1.288827, acc: 0.187500]
13616: [discriminator loss: 0.512673, acc: 0.757812] [adversarial loss: 0.932702, acc: 0.437500]
13617: [discriminator loss: 0.557727, acc: 0.734375] [adversarial loss: 1.334898, acc: 0.187500]
13618: [discriminator loss: 0.593158, acc: 0.679688] [adversarial loss: 1.014413, acc: 0.359375]
13619: [discriminator loss: 0.472937, acc: 0.789062] [adversarial loss: 1.047869, acc: 0.375000]
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13910: [discriminator loss: 0.531636, acc: 0.742188] [adversarial loss: 1.177205, acc: 0.296875]
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13912: [discriminator loss: 0.531710, acc: 0.757812] [adversarial loss: 1.429118, acc: 0.140625]
13913: [discriminator loss: 0.592920, acc: 0.648438] [adversarial loss: 0.837676, acc: 0.421875]
13914: [discriminator loss: 0.562857, acc: 0.742188] [adversarial loss: 1.357563, acc: 0.187500]
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13919: [discriminator loss: 0.623950, acc: 0.664062] [adversarial loss: 0.994517, acc: 0.390625]
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13923: [discriminator loss: 0.553695, acc: 0.726562] [adversarial loss: 1.499253, acc: 0.093750]
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13930: [discriminator loss: 0.528610, acc: 0.726562] [adversarial loss: 1.066463, acc: 0.312500]
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13932: [discriminator loss: 0.488946, acc: 0.750000] [adversarial loss: 0.703047, acc: 0.562500]
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13976: [discriminator loss: 0.642875, acc: 0.656250] [adversarial loss: 0.934959, acc: 0.468750]
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13978: [discriminator loss: 0.545341, acc: 0.703125] [adversarial loss: 0.892629, acc: 0.390625]
13979: [discriminator loss: 0.574115, acc: 0.687500] [adversarial loss: 1.600864, acc: 0.093750]
13980: [discriminator loss: 0.520491, acc: 0.726562] [adversarial loss: 1.048121, acc: 0.328125]
13981: [discriminator loss: 0.604197, acc: 0.671875] [adversarial loss: 1.158770, acc: 0.265625]
13982: [discriminator loss: 0.566989, acc: 0.664062] [adversarial loss: 1.225684, acc: 0.250000]
13983: [discriminator loss: 0.522895, acc: 0.742188] [adversarial loss: 1.133997, acc: 0.203125]
13984: [discriminator loss: 0.522816, acc: 0.726562] [adversarial loss: 1.391117, acc: 0.062500]
13985: [discriminator loss: 0.498086, acc: 0.757812] [adversarial loss: 0.937728, acc: 0.375000]
13986: [discriminator loss: 0.560815, acc: 0.679688] [adversarial loss: 1.203720, acc: 0.265625]
13987: [discriminator loss: 0.534023, acc: 0.726562] [adversarial loss: 0.952794, acc: 0.390625]
13988: [discriminator loss: 0.552205, acc: 0.734375] [adversarial loss: 1.051769, acc: 0.328125]
13989: [discriminator loss: 0.529056, acc: 0.710938] [adversarial loss: 0.856815, acc: 0.468750]
13990: [discriminator loss: 0.527447, acc: 0.750000] [adversarial loss: 1.415540, acc: 0.140625]
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15844: [discriminator loss: 0.489126, acc: 0.750000] [adversarial loss: 1.111056, acc: 0.265625]
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15847: [discriminator loss: 0.603454, acc: 0.687500] [adversarial loss: 1.636842, acc: 0.093750]
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15849: [discriminator loss: 0.473067, acc: 0.773438] [adversarial loss: 1.276235, acc: 0.140625]
15850: [discriminator loss: 0.535011, acc: 0.726562] [adversarial loss: 1.093250, acc: 0.281250]
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16920: [discriminator loss: 0.516256, acc: 0.742188] [adversarial loss: 1.131580, acc: 0.296875]
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16944: [discriminator loss: 0.503946, acc: 0.742188] [adversarial loss: 1.324542, acc: 0.156250]
16945: [discriminator loss: 0.611870, acc: 0.625000] [adversarial loss: 0.691136, acc: 0.531250]
16946: [discriminator loss: 0.560686, acc: 0.718750] [adversarial loss: 1.440672, acc: 0.156250]
16947: [discriminator loss: 0.535698, acc: 0.687500] [adversarial loss: 0.822869, acc: 0.468750]
16948: [discriminator loss: 0.554154, acc: 0.718750] [adversarial loss: 1.239949, acc: 0.250000]
16949: [discriminator loss: 0.539695, acc: 0.710938] [adversarial loss: 1.092790, acc: 0.265625]
16950: [discriminator loss: 0.534623, acc: 0.726562] [adversarial loss: 1.113658, acc: 0.203125]
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16960: [discriminator loss: 0.560491, acc: 0.710938] [adversarial loss: 1.336204, acc: 0.156250]
16961: [discriminator loss: 0.539963, acc: 0.765625] [adversarial loss: 1.358788, acc: 0.125000]
16962: [discriminator loss: 0.570408, acc: 0.671875] [adversarial loss: 1.078218, acc: 0.281250]
16963: [discriminator loss: 0.494560, acc: 0.773438] [adversarial loss: 1.189536, acc: 0.281250]
16964: [discriminator loss: 0.609039, acc: 0.695312] [adversarial loss: 1.378772, acc: 0.140625]
16965: [discriminator loss: 0.535360, acc: 0.750000] [adversarial loss: 0.822603, acc: 0.515625]
16966: [discriminator loss: 0.642407, acc: 0.656250] [adversarial loss: 1.617885, acc: 0.125000]
16967: [discriminator loss: 0.614665, acc: 0.648438] [adversarial loss: 0.938530, acc: 0.375000]
16968: [discriminator loss: 0.577597, acc: 0.710938] [adversarial loss: 1.216254, acc: 0.250000]
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19738: [discriminator loss: 0.416407, acc: 0.875000] [adversarial loss: 1.116878, acc: 0.265625]
19739: [discriminator loss: 0.569675, acc: 0.656250] [adversarial loss: 1.447580, acc: 0.093750]
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19742: [discriminator loss: 0.561290, acc: 0.679688] [adversarial loss: 1.018057, acc: 0.375000]
19743: [discriminator loss: 0.534086, acc: 0.695312] [adversarial loss: 1.253253, acc: 0.234375]
19744: [discriminator loss: 0.556106, acc: 0.687500] [adversarial loss: 0.767950, acc: 0.562500]
19745: [discriminator loss: 0.566860, acc: 0.734375] [adversarial loss: 1.675580, acc: 0.031250]
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19747: [discriminator loss: 0.634153, acc: 0.671875] [adversarial loss: 1.672393, acc: 0.078125]
19748: [discriminator loss: 0.684378, acc: 0.617188] [adversarial loss: 0.783176, acc: 0.500000]
19749: [discriminator loss: 0.549737, acc: 0.718750] [adversarial loss: 1.335044, acc: 0.156250]
19750: [discriminator loss: 0.504016, acc: 0.687500] [adversarial loss: 1.147209, acc: 0.312500]
19751: [discriminator loss: 0.496704, acc: 0.773438] [adversarial loss: 1.101879, acc: 0.328125]
19752: [discriminator loss: 0.537359, acc: 0.757812] [adversarial loss: 1.149555, acc: 0.281250]
19753: [discriminator loss: 0.500935, acc: 0.757812] [adversarial loss: 0.999246, acc: 0.328125]
19754: [discriminator loss: 0.559046, acc: 0.687500] [adversarial loss: 1.456683, acc: 0.109375]
19755: [discriminator loss: 0.600107, acc: 0.710938] [adversarial loss: 0.862899, acc: 0.468750]
19756: [discriminator loss: 0.630786, acc: 0.632812] [adversarial loss: 1.180236, acc: 0.250000]
19757: [discriminator loss: 0.550954, acc: 0.695312] [adversarial loss: 1.037311, acc: 0.281250]
19758: [discriminator loss: 0.471640, acc: 0.750000] [adversarial loss: 1.319514, acc: 0.093750]
19759: [discriminator loss: 0.523266, acc: 0.726562] [adversarial loss: 0.815221, acc: 0.593750]
19760: [discriminator loss: 0.583554, acc: 0.671875] [adversarial loss: 1.563937, acc: 0.125000]
19761: [discriminator loss: 0.535659, acc: 0.703125] [adversarial loss: 0.845166, acc: 0.390625]
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19764: [discriminator loss: 0.577378, acc: 0.695312] [adversarial loss: 1.040919, acc: 0.390625]
19765: [discriminator loss: 0.638900, acc: 0.679688] [adversarial loss: 1.159892, acc: 0.250000]
19766: [discriminator loss: 0.556380, acc: 0.718750] [adversarial loss: 1.226280, acc: 0.281250]
19767: [discriminator loss: 0.546086, acc: 0.687500] [adversarial loss: 1.343260, acc: 0.187500]
19768: [discriminator loss: 0.571209, acc: 0.695312] [adversarial loss: 1.055347, acc: 0.406250]
19769: [discriminator loss: 0.546004, acc: 0.742188] [adversarial loss: 1.228681, acc: 0.250000]
19770: [discriminator loss: 0.561026, acc: 0.734375] [adversarial loss: 1.295950, acc: 0.187500]
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19773: [discriminator loss: 0.569145, acc: 0.710938] [adversarial loss: 1.190654, acc: 0.265625]
19774: [discriminator loss: 0.560191, acc: 0.734375] [adversarial loss: 1.201887, acc: 0.234375]
19775: [discriminator loss: 0.597124, acc: 0.726562] [adversarial loss: 1.363569, acc: 0.156250]
19776: [discriminator loss: 0.480551, acc: 0.781250] [adversarial loss: 0.975407, acc: 0.328125]
19777: [discriminator loss: 0.554806, acc: 0.695312] [adversarial loss: 1.254689, acc: 0.234375]
19778: [discriminator loss: 0.592254, acc: 0.687500] [adversarial loss: 0.943464, acc: 0.328125]
19779: [discriminator loss: 0.577757, acc: 0.695312] [adversarial loss: 1.757230, acc: 0.031250]
19780: [discriminator loss: 0.617462, acc: 0.640625] [adversarial loss: 0.723894, acc: 0.578125]
19781: [discriminator loss: 0.530690, acc: 0.687500] [adversarial loss: 1.527238, acc: 0.109375]
19782: [discriminator loss: 0.502606, acc: 0.726562] [adversarial loss: 0.858193, acc: 0.500000]
19783: [discriminator loss: 0.620642, acc: 0.656250] [adversarial loss: 1.328653, acc: 0.125000]
19784: [discriminator loss: 0.565381, acc: 0.671875] [adversarial loss: 0.936626, acc: 0.359375]
19785: [discriminator loss: 0.606276, acc: 0.648438] [adversarial loss: 1.240825, acc: 0.203125]
19786: [discriminator loss: 0.506657, acc: 0.734375] [adversarial loss: 1.177239, acc: 0.218750]
19787: [discriminator loss: 0.526872, acc: 0.750000] [adversarial loss: 1.130820, acc: 0.234375]
19788: [discriminator loss: 0.534542, acc: 0.734375] [adversarial loss: 1.135961, acc: 0.265625]
19789: [discriminator loss: 0.547419, acc: 0.671875] [adversarial loss: 0.924668, acc: 0.437500]
19790: [discriminator loss: 0.645299, acc: 0.570312] [adversarial loss: 1.524444, acc: 0.062500]
19791: [discriminator loss: 0.563182, acc: 0.687500] [adversarial loss: 0.872187, acc: 0.437500]
19792: [discriminator loss: 0.599629, acc: 0.640625] [adversarial loss: 1.278211, acc: 0.312500]
19793: [discriminator loss: 0.560355, acc: 0.664062] [adversarial loss: 1.028999, acc: 0.328125]
19794: [discriminator loss: 0.551794, acc: 0.757812] [adversarial loss: 1.642670, acc: 0.140625]
19795: [discriminator loss: 0.539258, acc: 0.695312] [adversarial loss: 1.016685, acc: 0.359375]
19796: [discriminator loss: 0.517319, acc: 0.750000] [adversarial loss: 1.207395, acc: 0.296875]
19797: [discriminator loss: 0.484114, acc: 0.781250] [adversarial loss: 1.222055, acc: 0.265625]
19798: [discriminator loss: 0.548529, acc: 0.671875] [adversarial loss: 1.296337, acc: 0.218750]
19799: [discriminator loss: 0.538676, acc: 0.710938] [adversarial loss: 1.040881, acc: 0.359375]
19800: [discriminator loss: 0.509621, acc: 0.726562] [adversarial loss: 1.374432, acc: 0.187500]
19801: [discriminator loss: 0.551336, acc: 0.687500] [adversarial loss: 1.109732, acc: 0.234375]
19802: [discriminator loss: 0.521475, acc: 0.757812] [adversarial loss: 1.199486, acc: 0.218750]
19803: [discriminator loss: 0.559572, acc: 0.734375] [adversarial loss: 1.010761, acc: 0.359375]
19804: [discriminator loss: 0.544884, acc: 0.718750] [adversarial loss: 1.249165, acc: 0.218750]
19805: [discriminator loss: 0.489918, acc: 0.718750] [adversarial loss: 0.992421, acc: 0.359375]
19806: [discriminator loss: 0.494098, acc: 0.750000] [adversarial loss: 1.671692, acc: 0.015625]
19807: [discriminator loss: 0.532846, acc: 0.695312] [adversarial loss: 0.723119, acc: 0.546875]
19808: [discriminator loss: 0.632876, acc: 0.664062] [adversarial loss: 1.758840, acc: 0.062500]
19809: [discriminator loss: 0.655677, acc: 0.640625] [adversarial loss: 0.901806, acc: 0.390625]
19810: [discriminator loss: 0.594254, acc: 0.695312] [adversarial loss: 1.451087, acc: 0.171875]
19811: [discriminator loss: 0.606856, acc: 0.648438] [adversarial loss: 1.077228, acc: 0.312500]
19812: [discriminator loss: 0.538934, acc: 0.757812] [adversarial loss: 1.132774, acc: 0.359375]
19813: [discriminator loss: 0.463060, acc: 0.796875] [adversarial loss: 1.170675, acc: 0.218750]
19814: [discriminator loss: 0.532529, acc: 0.750000] [adversarial loss: 1.209519, acc: 0.234375]
19815: [discriminator loss: 0.478860, acc: 0.781250] [adversarial loss: 1.183573, acc: 0.265625]
19816: [discriminator loss: 0.571381, acc: 0.679688] [adversarial loss: 1.121132, acc: 0.328125]
19817: [discriminator loss: 0.447008, acc: 0.812500] [adversarial loss: 1.353263, acc: 0.156250]
19818: [discriminator loss: 0.531501, acc: 0.734375] [adversarial loss: 0.951290, acc: 0.343750]
19819: [discriminator loss: 0.592464, acc: 0.664062] [adversarial loss: 1.518057, acc: 0.140625]
19820: [discriminator loss: 0.664065, acc: 0.617188] [adversarial loss: 0.943857, acc: 0.406250]
19821: [discriminator loss: 0.626130, acc: 0.664062] [adversarial loss: 1.365101, acc: 0.156250]
19822: [discriminator loss: 0.557460, acc: 0.710938] [adversarial loss: 1.055023, acc: 0.328125]
19823: [discriminator loss: 0.509279, acc: 0.750000] [adversarial loss: 1.309047, acc: 0.156250]
19824: [discriminator loss: 0.548680, acc: 0.718750] [adversarial loss: 1.259939, acc: 0.203125]
19825: [discriminator loss: 0.530340, acc: 0.796875] [adversarial loss: 1.138070, acc: 0.281250]
19826: [discriminator loss: 0.495720, acc: 0.773438] [adversarial loss: 0.761658, acc: 0.500000]
19827: [discriminator loss: 0.544367, acc: 0.710938] [adversarial loss: 1.400383, acc: 0.093750]
19828: [discriminator loss: 0.609900, acc: 0.656250] [adversarial loss: 1.097978, acc: 0.390625]
19829: [discriminator loss: 0.547430, acc: 0.703125] [adversarial loss: 1.031957, acc: 0.296875]
19830: [discriminator loss: 0.560843, acc: 0.726562] [adversarial loss: 1.250422, acc: 0.156250]
19831: [discriminator loss: 0.555164, acc: 0.757812] [adversarial loss: 0.814874, acc: 0.437500]
19832: [discriminator loss: 0.523927, acc: 0.789062] [adversarial loss: 1.370633, acc: 0.125000]
19833: [discriminator loss: 0.504684, acc: 0.703125] [adversarial loss: 1.027964, acc: 0.359375]
19834: [discriminator loss: 0.566724, acc: 0.718750] [adversarial loss: 1.734493, acc: 0.046875]
19835: [discriminator loss: 0.602301, acc: 0.648438] [adversarial loss: 0.703996, acc: 0.578125]
19836: [discriminator loss: 0.654225, acc: 0.664062] [adversarial loss: 1.637680, acc: 0.093750]
19837: [discriminator loss: 0.527607, acc: 0.726562] [adversarial loss: 0.972625, acc: 0.375000]
19838: [discriminator loss: 0.539830, acc: 0.718750] [adversarial loss: 1.173421, acc: 0.250000]
19839: [discriminator loss: 0.461577, acc: 0.804688] [adversarial loss: 0.996735, acc: 0.312500]
19840: [discriminator loss: 0.492380, acc: 0.742188] [adversarial loss: 1.360639, acc: 0.156250]
19841: [discriminator loss: 0.431208, acc: 0.789062] [adversarial loss: 0.994268, acc: 0.390625]
19842: [discriminator loss: 0.604959, acc: 0.656250] [adversarial loss: 1.517288, acc: 0.109375]
19843: [discriminator loss: 0.548542, acc: 0.648438] [adversarial loss: 0.944600, acc: 0.546875]
19844: [discriminator loss: 0.527619, acc: 0.726562] [adversarial loss: 1.367700, acc: 0.203125]
19845: [discriminator loss: 0.527710, acc: 0.718750] [adversarial loss: 0.825945, acc: 0.421875]
19846: [discriminator loss: 0.621850, acc: 0.640625] [adversarial loss: 1.336119, acc: 0.171875]
19847: [discriminator loss: 0.485044, acc: 0.765625] [adversarial loss: 1.089610, acc: 0.281250]
19848: [discriminator loss: 0.524823, acc: 0.765625] [adversarial loss: 1.098047, acc: 0.265625]
19849: [discriminator loss: 0.568261, acc: 0.710938] [adversarial loss: 1.451891, acc: 0.171875]
19850: [discriminator loss: 0.575736, acc: 0.703125] [adversarial loss: 1.016770, acc: 0.406250]
19851: [discriminator loss: 0.604238, acc: 0.664062] [adversarial loss: 1.326743, acc: 0.234375]
19852: [discriminator loss: 0.524544, acc: 0.664062] [adversarial loss: 0.983764, acc: 0.375000]
19853: [discriminator loss: 0.561612, acc: 0.726562] [adversarial loss: 1.386051, acc: 0.140625]
19854: [discriminator loss: 0.529416, acc: 0.742188] [adversarial loss: 0.975783, acc: 0.359375]
19855: [discriminator loss: 0.484156, acc: 0.804688] [adversarial loss: 1.409327, acc: 0.171875]
19856: [discriminator loss: 0.465213, acc: 0.781250] [adversarial loss: 0.969631, acc: 0.437500]
19857: [discriminator loss: 0.554350, acc: 0.742188] [adversarial loss: 1.336368, acc: 0.093750]
19858: [discriminator loss: 0.622099, acc: 0.656250] [adversarial loss: 0.945950, acc: 0.437500]
19859: [discriminator loss: 0.535977, acc: 0.750000] [adversarial loss: 1.343136, acc: 0.187500]
19860: [discriminator loss: 0.539641, acc: 0.710938] [adversarial loss: 0.916132, acc: 0.531250]
19861: [discriminator loss: 0.507846, acc: 0.742188] [adversarial loss: 1.537900, acc: 0.156250]
19862: [discriminator loss: 0.595660, acc: 0.640625] [adversarial loss: 0.927065, acc: 0.437500]
19863: [discriminator loss: 0.509747, acc: 0.734375] [adversarial loss: 1.470649, acc: 0.187500]
19864: [discriminator loss: 0.560665, acc: 0.703125] [adversarial loss: 0.917069, acc: 0.437500]
19865: [discriminator loss: 0.542234, acc: 0.726562] [adversarial loss: 1.434961, acc: 0.187500]
19866: [discriminator loss: 0.560178, acc: 0.703125] [adversarial loss: 1.039321, acc: 0.312500]
19867: [discriminator loss: 0.539608, acc: 0.742188] [adversarial loss: 1.522818, acc: 0.140625]
19868: [discriminator loss: 0.632352, acc: 0.625000] [adversarial loss: 0.740639, acc: 0.578125]
19869: [discriminator loss: 0.555765, acc: 0.695312] [adversarial loss: 1.466410, acc: 0.062500]
19870: [discriminator loss: 0.598065, acc: 0.656250] [adversarial loss: 0.895233, acc: 0.375000]
19871: [discriminator loss: 0.537656, acc: 0.726562] [adversarial loss: 1.535502, acc: 0.156250]
19872: [discriminator loss: 0.579729, acc: 0.703125] [adversarial loss: 0.860105, acc: 0.468750]
19873: [discriminator loss: 0.501160, acc: 0.750000] [adversarial loss: 1.491569, acc: 0.156250]
19874: [discriminator loss: 0.547600, acc: 0.679688] [adversarial loss: 0.946203, acc: 0.453125]
19875: [discriminator loss: 0.560398, acc: 0.710938] [adversarial loss: 1.228150, acc: 0.265625]
19876: [discriminator loss: 0.605116, acc: 0.679688] [adversarial loss: 1.207660, acc: 0.281250]
19877: [discriminator loss: 0.502631, acc: 0.742188] [adversarial loss: 1.119994, acc: 0.265625]
19878: [discriminator loss: 0.481099, acc: 0.765625] [adversarial loss: 1.230527, acc: 0.218750]
19879: [discriminator loss: 0.530505, acc: 0.757812] [adversarial loss: 1.282834, acc: 0.156250]
19880: [discriminator loss: 0.553171, acc: 0.679688] [adversarial loss: 1.080338, acc: 0.343750]
19881: [discriminator loss: 0.542041, acc: 0.742188] [adversarial loss: 1.149688, acc: 0.281250]
19882: [discriminator loss: 0.533127, acc: 0.710938] [adversarial loss: 1.058158, acc: 0.437500]
19883: [discriminator loss: 0.557150, acc: 0.687500] [adversarial loss: 1.365660, acc: 0.078125]
19884: [discriminator loss: 0.599955, acc: 0.679688] [adversarial loss: 0.714217, acc: 0.562500]
19885: [discriminator loss: 0.530326, acc: 0.710938] [adversarial loss: 1.674243, acc: 0.093750]
19886: [discriminator loss: 0.652237, acc: 0.617188] [adversarial loss: 0.881655, acc: 0.437500]
19887: [discriminator loss: 0.617588, acc: 0.656250] [adversarial loss: 1.145383, acc: 0.187500]
19888: [discriminator loss: 0.549395, acc: 0.710938] [adversarial loss: 1.019465, acc: 0.421875]
19889: [discriminator loss: 0.530340, acc: 0.734375] [adversarial loss: 1.413502, acc: 0.171875]
19890: [discriminator loss: 0.612362, acc: 0.648438] [adversarial loss: 1.181296, acc: 0.250000]
19891: [discriminator loss: 0.485394, acc: 0.812500] [adversarial loss: 1.165014, acc: 0.343750]
19892: [discriminator loss: 0.612696, acc: 0.617188] [adversarial loss: 1.203588, acc: 0.234375]
19893: [discriminator loss: 0.489818, acc: 0.796875] [adversarial loss: 1.150616, acc: 0.328125]
19894: [discriminator loss: 0.495608, acc: 0.734375] [adversarial loss: 1.366898, acc: 0.234375]
19895: [discriminator loss: 0.491723, acc: 0.750000] [adversarial loss: 1.149100, acc: 0.265625]
19896: [discriminator loss: 0.481713, acc: 0.781250] [adversarial loss: 1.695296, acc: 0.109375]
19897: [discriminator loss: 0.509422, acc: 0.750000] [adversarial loss: 0.805666, acc: 0.515625]
19898: [discriminator loss: 0.503316, acc: 0.765625] [adversarial loss: 1.734270, acc: 0.093750]
19899: [discriminator loss: 0.584381, acc: 0.671875] [adversarial loss: 0.785704, acc: 0.546875]
19900: [discriminator loss: 0.574908, acc: 0.710938] [adversarial loss: 1.507876, acc: 0.156250]
19901: [discriminator loss: 0.624527, acc: 0.679688] [adversarial loss: 0.941344, acc: 0.468750]
19902: [discriminator loss: 0.514971, acc: 0.757812] [adversarial loss: 1.258413, acc: 0.203125]
19903: [discriminator loss: 0.575316, acc: 0.726562] [adversarial loss: 1.335862, acc: 0.140625]
19904: [discriminator loss: 0.527126, acc: 0.695312] [adversarial loss: 0.933753, acc: 0.453125]
19905: [discriminator loss: 0.481338, acc: 0.765625] [adversarial loss: 1.193936, acc: 0.218750]
19906: [discriminator loss: 0.533037, acc: 0.710938] [adversarial loss: 1.098978, acc: 0.265625]
19907: [discriminator loss: 0.534074, acc: 0.742188] [adversarial loss: 1.294593, acc: 0.265625]
19908: [discriminator loss: 0.494756, acc: 0.757812] [adversarial loss: 1.285740, acc: 0.187500]
19909: [discriminator loss: 0.567779, acc: 0.679688] [adversarial loss: 1.123077, acc: 0.359375]
19910: [discriminator loss: 0.534858, acc: 0.726562] [adversarial loss: 1.439852, acc: 0.187500]
19911: [discriminator loss: 0.543377, acc: 0.687500] [adversarial loss: 0.968930, acc: 0.437500]
19912: [discriminator loss: 0.567054, acc: 0.679688] [adversarial loss: 1.585462, acc: 0.140625]
19913: [discriminator loss: 0.600544, acc: 0.664062] [adversarial loss: 0.801783, acc: 0.546875]
19914: [discriminator loss: 0.596346, acc: 0.664062] [adversarial loss: 1.448728, acc: 0.156250]
19915: [discriminator loss: 0.587215, acc: 0.679688] [adversarial loss: 0.951857, acc: 0.375000]
19916: [discriminator loss: 0.562740, acc: 0.710938] [adversarial loss: 1.547390, acc: 0.109375]
19917: [discriminator loss: 0.541841, acc: 0.726562] [adversarial loss: 1.206633, acc: 0.328125]
19918: [discriminator loss: 0.546857, acc: 0.710938] [adversarial loss: 1.359854, acc: 0.234375]
19919: [discriminator loss: 0.514293, acc: 0.742188] [adversarial loss: 1.088837, acc: 0.250000]
19920: [discriminator loss: 0.565323, acc: 0.695312] [adversarial loss: 1.466704, acc: 0.187500]
19921: [discriminator loss: 0.524843, acc: 0.718750] [adversarial loss: 0.941826, acc: 0.437500]
19922: [discriminator loss: 0.541507, acc: 0.695312] [adversarial loss: 1.543824, acc: 0.125000]
19923: [discriminator loss: 0.498929, acc: 0.773438] [adversarial loss: 0.996031, acc: 0.359375]
19924: [discriminator loss: 0.603380, acc: 0.710938] [adversarial loss: 1.597554, acc: 0.109375]
19925: [discriminator loss: 0.565493, acc: 0.679688] [adversarial loss: 0.935040, acc: 0.421875]
19926: [discriminator loss: 0.485170, acc: 0.773438] [adversarial loss: 1.632343, acc: 0.093750]
19927: [discriminator loss: 0.587644, acc: 0.648438] [adversarial loss: 0.877507, acc: 0.437500]
19928: [discriminator loss: 0.524969, acc: 0.718750] [adversarial loss: 1.461007, acc: 0.125000]
19929: [discriminator loss: 0.514403, acc: 0.726562] [adversarial loss: 0.945274, acc: 0.328125]
19930: [discriminator loss: 0.618822, acc: 0.632812] [adversarial loss: 1.667960, acc: 0.125000]
19931: [discriminator loss: 0.591741, acc: 0.679688] [adversarial loss: 1.099092, acc: 0.281250]
19932: [discriminator loss: 0.496447, acc: 0.750000] [adversarial loss: 1.175708, acc: 0.312500]
19933: [discriminator loss: 0.560840, acc: 0.703125] [adversarial loss: 1.067925, acc: 0.296875]
19934: [discriminator loss: 0.505679, acc: 0.750000] [adversarial loss: 1.298900, acc: 0.203125]
19935: [discriminator loss: 0.574943, acc: 0.703125] [adversarial loss: 0.861372, acc: 0.421875]
19936: [discriminator loss: 0.549362, acc: 0.710938] [adversarial loss: 1.623296, acc: 0.125000]
19937: [discriminator loss: 0.508108, acc: 0.757812] [adversarial loss: 0.951157, acc: 0.421875]
19938: [discriminator loss: 0.478284, acc: 0.742188] [adversarial loss: 1.220830, acc: 0.203125]
19939: [discriminator loss: 0.559585, acc: 0.695312] [adversarial loss: 1.228674, acc: 0.156250]
19940: [discriminator loss: 0.590012, acc: 0.664062] [adversarial loss: 1.031518, acc: 0.296875]
19941: [discriminator loss: 0.509590, acc: 0.750000] [adversarial loss: 1.331217, acc: 0.125000]
19942: [discriminator loss: 0.544842, acc: 0.742188] [adversarial loss: 0.979517, acc: 0.375000]
19943: [discriminator loss: 0.489968, acc: 0.765625] [adversarial loss: 1.085583, acc: 0.296875]
19944: [discriminator loss: 0.501411, acc: 0.710938] [adversarial loss: 1.289619, acc: 0.156250]
19945: [discriminator loss: 0.521617, acc: 0.718750] [adversarial loss: 1.063914, acc: 0.250000]
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20121: [discriminator loss: 0.549280, acc: 0.726562] [adversarial loss: 0.729651, acc: 0.593750]
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20130: [discriminator loss: 0.594196, acc: 0.742188] [adversarial loss: 1.275650, acc: 0.171875]
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28685: [discriminator loss: 0.498562, acc: 0.765625] [adversarial loss: 1.264838, acc: 0.312500]
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28688: [discriminator loss: 0.514466, acc: 0.687500] [adversarial loss: 1.314961, acc: 0.281250]
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28875: [discriminator loss: 0.492090, acc: 0.757812] [adversarial loss: 1.023830, acc: 0.359375]
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29620: [discriminator loss: 0.571125, acc: 0.687500] [adversarial loss: 0.850150, acc: 0.484375]
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30544: [discriminator loss: 0.580860, acc: 0.648438] [adversarial loss: 0.959230, acc: 0.406250]
30545: [discriminator loss: 0.578968, acc: 0.671875] [adversarial loss: 1.230368, acc: 0.265625]
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30547: [discriminator loss: 0.585117, acc: 0.726562] [adversarial loss: 1.511544, acc: 0.125000]
30548: [discriminator loss: 0.497391, acc: 0.781250] [adversarial loss: 1.098383, acc: 0.296875]
30549: [discriminator loss: 0.525103, acc: 0.757812] [adversarial loss: 1.475211, acc: 0.171875]
30550: [discriminator loss: 0.562657, acc: 0.710938] [adversarial loss: 1.225908, acc: 0.281250]
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30827: [discriminator loss: 0.527076, acc: 0.757812] [adversarial loss: 1.984590, acc: 0.078125]
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30904: [discriminator loss: 0.543725, acc: 0.703125] [adversarial loss: 1.729450, acc: 0.062500]
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30912: [discriminator loss: 0.545725, acc: 0.710938] [adversarial loss: 1.506792, acc: 0.140625]
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30914: [discriminator loss: 0.473719, acc: 0.765625] [adversarial loss: 1.540572, acc: 0.125000]
30915: [discriminator loss: 0.517726, acc: 0.742188] [adversarial loss: 1.174295, acc: 0.312500]
30916: [discriminator loss: 0.494200, acc: 0.750000] [adversarial loss: 1.561119, acc: 0.093750]
30917: [discriminator loss: 0.481908, acc: 0.710938] [adversarial loss: 0.960057, acc: 0.328125]
30918: [discriminator loss: 0.563095, acc: 0.710938] [adversarial loss: 1.348037, acc: 0.156250]
30919: [discriminator loss: 0.481016, acc: 0.742188] [adversarial loss: 1.115308, acc: 0.328125]
30920: [discriminator loss: 0.496503, acc: 0.765625] [adversarial loss: 0.906984, acc: 0.562500]
30921: [discriminator loss: 0.558463, acc: 0.687500] [adversarial loss: 1.468756, acc: 0.093750]
30922: [discriminator loss: 0.713097, acc: 0.601562] [adversarial loss: 0.743552, acc: 0.578125]
30923: [discriminator loss: 0.592921, acc: 0.671875] [adversarial loss: 1.843140, acc: 0.062500]
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30925: [discriminator loss: 0.499071, acc: 0.742188] [adversarial loss: 1.423666, acc: 0.203125]
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30960: [discriminator loss: 0.560241, acc: 0.695312] [adversarial loss: 1.280703, acc: 0.250000]
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30965: [discriminator loss: 0.493791, acc: 0.750000] [adversarial loss: 0.995497, acc: 0.406250]
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30969: [discriminator loss: 0.526995, acc: 0.710938] [adversarial loss: 0.822840, acc: 0.515625]
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30971: [discriminator loss: 0.523879, acc: 0.734375] [adversarial loss: 0.997184, acc: 0.359375]
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30973: [discriminator loss: 0.513965, acc: 0.773438] [adversarial loss: 1.394992, acc: 0.218750]
30974: [discriminator loss: 0.469734, acc: 0.750000] [adversarial loss: 1.134291, acc: 0.265625]
30975: [discriminator loss: 0.559399, acc: 0.695312] [adversarial loss: 1.328696, acc: 0.218750]
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30977: [discriminator loss: 0.510322, acc: 0.742188] [adversarial loss: 1.334375, acc: 0.171875]
30978: [discriminator loss: 0.532447, acc: 0.718750] [adversarial loss: 1.124786, acc: 0.281250]
30979: [discriminator loss: 0.526929, acc: 0.765625] [adversarial loss: 1.485731, acc: 0.125000]
30980: [discriminator loss: 0.497956, acc: 0.742188] [adversarial loss: 1.124331, acc: 0.281250]
30981: [discriminator loss: 0.493752, acc: 0.757812] [adversarial loss: 1.730109, acc: 0.109375]
30982: [discriminator loss: 0.630328, acc: 0.656250] [adversarial loss: 0.787622, acc: 0.515625]
30983: [discriminator loss: 0.532977, acc: 0.757812] [adversarial loss: 1.305538, acc: 0.234375]
30984: [discriminator loss: 0.527371, acc: 0.750000] [adversarial loss: 1.142309, acc: 0.265625]
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30986: [discriminator loss: 0.523020, acc: 0.718750] [adversarial loss: 1.324124, acc: 0.187500]
30987: [discriminator loss: 0.563559, acc: 0.687500] [adversarial loss: 1.047428, acc: 0.343750]
30988: [discriminator loss: 0.438972, acc: 0.765625] [adversarial loss: 1.446753, acc: 0.140625]
30989: [discriminator loss: 0.550449, acc: 0.679688] [adversarial loss: 0.699233, acc: 0.593750]
30990: [discriminator loss: 0.611533, acc: 0.664062] [adversarial loss: 1.704791, acc: 0.078125]
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30998: [discriminator loss: 0.530742, acc: 0.710938] [adversarial loss: 1.519320, acc: 0.187500]
30999: [discriminator loss: 0.564151, acc: 0.726562] [adversarial loss: 1.325322, acc: 0.203125]
31000: [discriminator loss: 0.460440, acc: 0.804688] [adversarial loss: 1.200734, acc: 0.250000]
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31009: [discriminator loss: 0.529565, acc: 0.703125] [adversarial loss: 1.630547, acc: 0.062500]
31010: [discriminator loss: 0.513120, acc: 0.703125] [adversarial loss: 1.018748, acc: 0.390625]
31011: [discriminator loss: 0.602782, acc: 0.656250] [adversarial loss: 1.715037, acc: 0.046875]
31012: [discriminator loss: 0.620117, acc: 0.664062] [adversarial loss: 0.848574, acc: 0.468750]
31013: [discriminator loss: 0.556863, acc: 0.703125] [adversarial loss: 1.602670, acc: 0.093750]
31014: [discriminator loss: 0.567894, acc: 0.625000] [adversarial loss: 0.843588, acc: 0.453125]
31015: [discriminator loss: 0.528210, acc: 0.734375] [adversarial loss: 1.614211, acc: 0.078125]
31016: [discriminator loss: 0.460865, acc: 0.789062] [adversarial loss: 1.018957, acc: 0.359375]
31017: [discriminator loss: 0.440427, acc: 0.773438] [adversarial loss: 1.278801, acc: 0.281250]
31018: [discriminator loss: 0.557561, acc: 0.710938] [adversarial loss: 1.366580, acc: 0.250000]
31019: [discriminator loss: 0.455001, acc: 0.804688] [adversarial loss: 1.116717, acc: 0.312500]
31020: [discriminator loss: 0.495351, acc: 0.750000] [adversarial loss: 1.108172, acc: 0.265625]
31021: [discriminator loss: 0.439554, acc: 0.781250] [adversarial loss: 1.174370, acc: 0.343750]
31022: [discriminator loss: 0.477829, acc: 0.773438] [adversarial loss: 1.217669, acc: 0.250000]
31023: [discriminator loss: 0.492779, acc: 0.781250] [adversarial loss: 1.414347, acc: 0.156250]
31024: [discriminator loss: 0.559145, acc: 0.703125] [adversarial loss: 0.910184, acc: 0.406250]
31025: [discriminator loss: 0.540165, acc: 0.765625] [adversarial loss: 1.728377, acc: 0.062500]
31026: [discriminator loss: 0.562046, acc: 0.695312] [adversarial loss: 1.072970, acc: 0.296875]
31027: [discriminator loss: 0.556411, acc: 0.710938] [adversarial loss: 1.193951, acc: 0.265625]
31028: [discriminator loss: 0.549992, acc: 0.679688] [adversarial loss: 1.278331, acc: 0.171875]
31029: [discriminator loss: 0.502871, acc: 0.757812] [adversarial loss: 1.387755, acc: 0.109375]
31030: [discriminator loss: 0.473291, acc: 0.718750] [adversarial loss: 1.036245, acc: 0.312500]
31031: [discriminator loss: 0.482184, acc: 0.773438] [adversarial loss: 1.637794, acc: 0.046875]
31032: [discriminator loss: 0.552915, acc: 0.687500] [adversarial loss: 0.904258, acc: 0.468750]
31033: [discriminator loss: 0.586338, acc: 0.671875] [adversarial loss: 1.712371, acc: 0.093750]
31034: [discriminator loss: 0.618374, acc: 0.656250] [adversarial loss: 0.861853, acc: 0.531250]
31035: [discriminator loss: 0.587910, acc: 0.664062] [adversarial loss: 1.824305, acc: 0.093750]
31036: [discriminator loss: 0.584567, acc: 0.664062] [adversarial loss: 0.974734, acc: 0.421875]
31037: [discriminator loss: 0.526022, acc: 0.757812] [adversarial loss: 1.450904, acc: 0.156250]
31038: [discriminator loss: 0.529650, acc: 0.726562] [adversarial loss: 1.199090, acc: 0.281250]
31039: [discriminator loss: 0.462125, acc: 0.781250] [adversarial loss: 0.968191, acc: 0.375000]
31040: [discriminator loss: 0.536302, acc: 0.710938] [adversarial loss: 1.329508, acc: 0.312500]
31041: [discriminator loss: 0.540933, acc: 0.765625] [adversarial loss: 0.904063, acc: 0.437500]
31042: [discriminator loss: 0.571093, acc: 0.687500] [adversarial loss: 1.561433, acc: 0.078125]
31043: [discriminator loss: 0.477540, acc: 0.765625] [adversarial loss: 1.129951, acc: 0.343750]
31044: [discriminator loss: 0.529311, acc: 0.757812] [adversarial loss: 1.370769, acc: 0.250000]
31045: [discriminator loss: 0.503232, acc: 0.757812] [adversarial loss: 1.056233, acc: 0.312500]
31046: [discriminator loss: 0.449640, acc: 0.804688] [adversarial loss: 1.542870, acc: 0.171875]
31047: [discriminator loss: 0.491366, acc: 0.726562] [adversarial loss: 1.020283, acc: 0.328125]
31048: [discriminator loss: 0.466192, acc: 0.765625] [adversarial loss: 1.517611, acc: 0.078125]
31049: [discriminator loss: 0.515297, acc: 0.750000] [adversarial loss: 1.131916, acc: 0.265625]
31050: [discriminator loss: 0.586384, acc: 0.710938] [adversarial loss: 1.546791, acc: 0.140625]
31051: [discriminator loss: 0.524493, acc: 0.710938] [adversarial loss: 1.310580, acc: 0.140625]
31052: [discriminator loss: 0.431411, acc: 0.828125] [adversarial loss: 1.231591, acc: 0.312500]
31053: [discriminator loss: 0.533279, acc: 0.679688] [adversarial loss: 1.081107, acc: 0.343750]
31054: [discriminator loss: 0.494704, acc: 0.726562] [adversarial loss: 1.101052, acc: 0.421875]
31055: [discriminator loss: 0.561883, acc: 0.679688] [adversarial loss: 1.173622, acc: 0.343750]
31056: [discriminator loss: 0.474570, acc: 0.789062] [adversarial loss: 1.029819, acc: 0.390625]
31057: [discriminator loss: 0.497037, acc: 0.765625] [adversarial loss: 1.730573, acc: 0.125000]
31058: [discriminator loss: 0.575792, acc: 0.726562] [adversarial loss: 1.027446, acc: 0.484375]
31059: [discriminator loss: 0.486682, acc: 0.726562] [adversarial loss: 1.456041, acc: 0.203125]
31060: [discriminator loss: 0.501183, acc: 0.781250] [adversarial loss: 1.035335, acc: 0.328125]
31061: [discriminator loss: 0.497952, acc: 0.718750] [adversarial loss: 1.559538, acc: 0.187500]
31062: [discriminator loss: 0.578141, acc: 0.710938] [adversarial loss: 0.749039, acc: 0.531250]
31063: [discriminator loss: 0.618282, acc: 0.718750] [adversarial loss: 1.694105, acc: 0.125000]
31064: [discriminator loss: 0.575615, acc: 0.703125] [adversarial loss: 0.987490, acc: 0.453125]
31065: [discriminator loss: 0.579092, acc: 0.664062] [adversarial loss: 1.453657, acc: 0.156250]
31066: [discriminator loss: 0.436852, acc: 0.773438] [adversarial loss: 1.317777, acc: 0.156250]
31067: [discriminator loss: 0.536588, acc: 0.703125] [adversarial loss: 1.303587, acc: 0.203125]
31068: [discriminator loss: 0.473708, acc: 0.812500] [adversarial loss: 1.211882, acc: 0.281250]
31069: [discriminator loss: 0.549337, acc: 0.687500] [adversarial loss: 1.311531, acc: 0.187500]
31070: [discriminator loss: 0.477879, acc: 0.781250] [adversarial loss: 1.267207, acc: 0.265625]
31071: [discriminator loss: 0.486738, acc: 0.757812] [adversarial loss: 1.039049, acc: 0.343750]
31072: [discriminator loss: 0.504351, acc: 0.750000] [adversarial loss: 1.247641, acc: 0.296875]
31073: [discriminator loss: 0.479748, acc: 0.796875] [adversarial loss: 1.508857, acc: 0.187500]
31074: [discriminator loss: 0.556076, acc: 0.695312] [adversarial loss: 1.341927, acc: 0.265625]
31075: [discriminator loss: 0.491218, acc: 0.796875] [adversarial loss: 1.462381, acc: 0.187500]
31076: [discriminator loss: 0.540200, acc: 0.718750] [adversarial loss: 1.253802, acc: 0.343750]
31077: [discriminator loss: 0.517633, acc: 0.726562] [adversarial loss: 1.381964, acc: 0.187500]
31078: [discriminator loss: 0.525686, acc: 0.734375] [adversarial loss: 1.303983, acc: 0.265625]
31079: [discriminator loss: 0.546539, acc: 0.710938] [adversarial loss: 1.629242, acc: 0.187500]
31080: [discriminator loss: 0.551250, acc: 0.687500] [adversarial loss: 0.912851, acc: 0.437500]
31081: [discriminator loss: 0.549299, acc: 0.718750] [adversarial loss: 1.556116, acc: 0.125000]
31082: [discriminator loss: 0.468647, acc: 0.757812] [adversarial loss: 0.977735, acc: 0.437500]
31083: [discriminator loss: 0.594383, acc: 0.679688] [adversarial loss: 1.322575, acc: 0.234375]
31084: [discriminator loss: 0.496925, acc: 0.742188] [adversarial loss: 0.899684, acc: 0.421875]
31085: [discriminator loss: 0.617444, acc: 0.710938] [adversarial loss: 1.669135, acc: 0.109375]
31086: [discriminator loss: 0.639806, acc: 0.632812] [adversarial loss: 0.791686, acc: 0.531250]
31087: [discriminator loss: 0.539322, acc: 0.757812] [adversarial loss: 1.718948, acc: 0.078125]
31088: [discriminator loss: 0.513503, acc: 0.757812] [adversarial loss: 0.913301, acc: 0.437500]
31089: [discriminator loss: 0.535982, acc: 0.687500] [adversarial loss: 1.607122, acc: 0.171875]
31090: [discriminator loss: 0.517927, acc: 0.718750] [adversarial loss: 1.231835, acc: 0.281250]
31091: [discriminator loss: 0.547815, acc: 0.726562] [adversarial loss: 1.540664, acc: 0.125000]
31092: [discriminator loss: 0.506776, acc: 0.742188] [adversarial loss: 1.046426, acc: 0.343750]
31093: [discriminator loss: 0.489037, acc: 0.742188] [adversarial loss: 1.648271, acc: 0.140625]
31094: [discriminator loss: 0.529430, acc: 0.765625] [adversarial loss: 1.261692, acc: 0.281250]
31095: [discriminator loss: 0.579543, acc: 0.718750] [adversarial loss: 1.305412, acc: 0.250000]
31096: [discriminator loss: 0.542174, acc: 0.710938] [adversarial loss: 1.268939, acc: 0.296875]
31097: [discriminator loss: 0.505773, acc: 0.750000] [adversarial loss: 1.324620, acc: 0.250000]
31098: [discriminator loss: 0.488613, acc: 0.726562] [adversarial loss: 1.294924, acc: 0.203125]
31099: [discriminator loss: 0.467316, acc: 0.773438] [adversarial loss: 1.311601, acc: 0.203125]
31100: [discriminator loss: 0.557348, acc: 0.718750] [adversarial loss: 0.982754, acc: 0.375000]
31101: [discriminator loss: 0.539575, acc: 0.742188] [adversarial loss: 1.487548, acc: 0.234375]
31102: [discriminator loss: 0.493172, acc: 0.765625] [adversarial loss: 1.287369, acc: 0.328125]
31103: [discriminator loss: 0.503970, acc: 0.734375] [adversarial loss: 1.363596, acc: 0.250000]
31104: [discriminator loss: 0.564395, acc: 0.679688] [adversarial loss: 1.228773, acc: 0.218750]
31105: [discriminator loss: 0.568453, acc: 0.671875] [adversarial loss: 1.429960, acc: 0.203125]
31106: [discriminator loss: 0.528975, acc: 0.734375] [adversarial loss: 1.048950, acc: 0.484375]
31107: [discriminator loss: 0.535485, acc: 0.718750] [adversarial loss: 1.459016, acc: 0.203125]
31108: [discriminator loss: 0.479218, acc: 0.796875] [adversarial loss: 1.375911, acc: 0.234375]
31109: [discriminator loss: 0.459378, acc: 0.765625] [adversarial loss: 1.362940, acc: 0.187500]
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31200: [discriminator loss: 0.590820, acc: 0.687500] [adversarial loss: 1.574122, acc: 0.093750]
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33809: [discriminator loss: 0.489527, acc: 0.726562] [adversarial loss: 0.832165, acc: 0.468750]
33810: [discriminator loss: 0.613554, acc: 0.656250] [adversarial loss: 2.082921, acc: 0.125000]
33811: [discriminator loss: 0.516141, acc: 0.742188] [adversarial loss: 0.997792, acc: 0.406250]
33812: [discriminator loss: 0.530169, acc: 0.734375] [adversarial loss: 1.471624, acc: 0.156250]
33813: [discriminator loss: 0.549787, acc: 0.687500] [adversarial loss: 1.209685, acc: 0.250000]
33814: [discriminator loss: 0.516628, acc: 0.718750] [adversarial loss: 1.607129, acc: 0.109375]
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33889: [discriminator loss: 0.523504, acc: 0.726562] [adversarial loss: 0.992773, acc: 0.390625]
33890: [discriminator loss: 0.493637, acc: 0.726562] [adversarial loss: 1.477232, acc: 0.125000]
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33892: [discriminator loss: 0.507580, acc: 0.765625] [adversarial loss: 1.431886, acc: 0.187500]
33893: [discriminator loss: 0.539092, acc: 0.703125] [adversarial loss: 0.773864, acc: 0.562500]
33894: [discriminator loss: 0.525435, acc: 0.757812] [adversarial loss: 1.629423, acc: 0.218750]
33895: [discriminator loss: 0.555578, acc: 0.703125] [adversarial loss: 1.062418, acc: 0.375000]
33896: [discriminator loss: 0.471352, acc: 0.718750] [adversarial loss: 1.118389, acc: 0.328125]
33897: [discriminator loss: 0.471643, acc: 0.789062] [adversarial loss: 1.121336, acc: 0.328125]
33898: [discriminator loss: 0.467735, acc: 0.773438] [adversarial loss: 1.350979, acc: 0.250000]
33899: [discriminator loss: 0.435777, acc: 0.812500] [adversarial loss: 1.073323, acc: 0.406250]
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34818: [discriminator loss: 0.498582, acc: 0.742188] [adversarial loss: 1.142769, acc: 0.343750]
34819: [discriminator loss: 0.464605, acc: 0.781250] [adversarial loss: 0.937414, acc: 0.406250]
34820: [discriminator loss: 0.485846, acc: 0.750000] [adversarial loss: 1.258360, acc: 0.203125]
34821: [discriminator loss: 0.545865, acc: 0.710938] [adversarial loss: 0.988565, acc: 0.359375]
34822: [discriminator loss: 0.507433, acc: 0.742188] [adversarial loss: 1.375777, acc: 0.265625]
34823: [discriminator loss: 0.475005, acc: 0.773438] [adversarial loss: 0.848853, acc: 0.468750]
34824: [discriminator loss: 0.552239, acc: 0.718750] [adversarial loss: 1.499179, acc: 0.234375]
34825: [discriminator loss: 0.590440, acc: 0.703125] [adversarial loss: 0.573219, acc: 0.718750]
34826: [discriminator loss: 0.679659, acc: 0.617188] [adversarial loss: 2.506228, acc: 0.015625]
34827: [discriminator loss: 0.571738, acc: 0.703125] [adversarial loss: 0.957605, acc: 0.296875]
34828: [discriminator loss: 0.562476, acc: 0.687500] [adversarial loss: 1.531108, acc: 0.218750]
34829: [discriminator loss: 0.524109, acc: 0.757812] [adversarial loss: 1.215065, acc: 0.281250]
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34901: [discriminator loss: 0.578508, acc: 0.679688] [adversarial loss: 0.779177, acc: 0.546875]
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34904: [discriminator loss: 0.447294, acc: 0.835938] [adversarial loss: 1.103938, acc: 0.281250]
34905: [discriminator loss: 0.480564, acc: 0.757812] [adversarial loss: 1.188528, acc: 0.281250]
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34910: [discriminator loss: 0.441564, acc: 0.812500] [adversarial loss: 1.315760, acc: 0.171875]
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34912: [discriminator loss: 0.575274, acc: 0.703125] [adversarial loss: 1.603561, acc: 0.171875]
34913: [discriminator loss: 0.613916, acc: 0.640625] [adversarial loss: 0.876443, acc: 0.437500]
34914: [discriminator loss: 0.549395, acc: 0.695312] [adversarial loss: 1.185175, acc: 0.250000]
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34917: [discriminator loss: 0.481360, acc: 0.781250] [adversarial loss: 1.296926, acc: 0.218750]
34918: [discriminator loss: 0.495064, acc: 0.718750] [adversarial loss: 1.115757, acc: 0.328125]
34919: [discriminator loss: 0.473059, acc: 0.781250] [adversarial loss: 1.209416, acc: 0.203125]
34920: [discriminator loss: 0.496008, acc: 0.820312] [adversarial loss: 1.178723, acc: 0.265625]
34921: [discriminator loss: 0.449482, acc: 0.804688] [adversarial loss: 1.269898, acc: 0.171875]
34922: [discriminator loss: 0.523139, acc: 0.742188] [adversarial loss: 1.456185, acc: 0.187500]
34923: [discriminator loss: 0.601731, acc: 0.679688] [adversarial loss: 1.496004, acc: 0.156250]
34924: [discriminator loss: 0.486504, acc: 0.796875] [adversarial loss: 1.560953, acc: 0.203125]
34925: [discriminator loss: 0.491330, acc: 0.765625] [adversarial loss: 1.340056, acc: 0.328125]
34926: [discriminator loss: 0.510622, acc: 0.773438] [adversarial loss: 1.554036, acc: 0.125000]
34927: [discriminator loss: 0.460616, acc: 0.796875] [adversarial loss: 1.105313, acc: 0.281250]
34928: [discriminator loss: 0.532868, acc: 0.742188] [adversarial loss: 1.888659, acc: 0.109375]
34929: [discriminator loss: 0.545262, acc: 0.734375] [adversarial loss: 0.978093, acc: 0.421875]
34930: [discriminator loss: 0.542931, acc: 0.687500] [adversarial loss: 1.830891, acc: 0.062500]
34931: [discriminator loss: 0.525595, acc: 0.695312] [adversarial loss: 0.903206, acc: 0.453125]
34932: [discriminator loss: 0.478623, acc: 0.757812] [adversarial loss: 1.697675, acc: 0.093750]
34933: [discriminator loss: 0.515825, acc: 0.742188] [adversarial loss: 1.021464, acc: 0.421875]
34934: [discriminator loss: 0.548770, acc: 0.695312] [adversarial loss: 1.315514, acc: 0.250000]
34935: [discriminator loss: 0.617510, acc: 0.664062] [adversarial loss: 1.562662, acc: 0.140625]
34936: [discriminator loss: 0.511232, acc: 0.742188] [adversarial loss: 1.429766, acc: 0.109375]
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34938: [discriminator loss: 0.499003, acc: 0.757812] [adversarial loss: 1.505671, acc: 0.203125]
34939: [discriminator loss: 0.470693, acc: 0.757812] [adversarial loss: 1.086468, acc: 0.359375]
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34941: [discriminator loss: 0.425855, acc: 0.789062] [adversarial loss: 1.210330, acc: 0.296875]
34942: [discriminator loss: 0.532165, acc: 0.687500] [adversarial loss: 1.087570, acc: 0.406250]
34943: [discriminator loss: 0.414213, acc: 0.820312] [adversarial loss: 1.058431, acc: 0.375000]
34944: [discriminator loss: 0.480300, acc: 0.734375] [adversarial loss: 1.946676, acc: 0.078125]
34945: [discriminator loss: 0.519492, acc: 0.718750] [adversarial loss: 0.832989, acc: 0.484375]
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34950: [discriminator loss: 0.579992, acc: 0.695312] [adversarial loss: 1.243511, acc: 0.218750]
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34974: [discriminator loss: 0.514711, acc: 0.750000] [adversarial loss: 1.234337, acc: 0.265625]
34975: [discriminator loss: 0.510231, acc: 0.742188] [adversarial loss: 1.526444, acc: 0.218750]
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34988: [discriminator loss: 0.553455, acc: 0.750000] [adversarial loss: 1.419122, acc: 0.171875]
34989: [discriminator loss: 0.560553, acc: 0.671875] [adversarial loss: 1.067719, acc: 0.250000]
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35008: [discriminator loss: 0.465895, acc: 0.750000] [adversarial loss: 1.183604, acc: 0.265625]
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35010: [discriminator loss: 0.471259, acc: 0.765625] [adversarial loss: 1.198283, acc: 0.312500]
35011: [discriminator loss: 0.437200, acc: 0.804688] [adversarial loss: 1.426954, acc: 0.156250]
35012: [discriminator loss: 0.459331, acc: 0.757812] [adversarial loss: 1.126663, acc: 0.312500]
35013: [discriminator loss: 0.576664, acc: 0.671875] [adversarial loss: 1.919418, acc: 0.062500]
35014: [discriminator loss: 0.592573, acc: 0.664062] [adversarial loss: 1.034474, acc: 0.421875]
35015: [discriminator loss: 0.485892, acc: 0.742188] [adversarial loss: 1.801118, acc: 0.171875]
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35409: [discriminator loss: 0.483988, acc: 0.757812] [adversarial loss: 1.070879, acc: 0.406250]
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35412: [discriminator loss: 0.607906, acc: 0.695312] [adversarial loss: 1.678300, acc: 0.156250]
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35414: [discriminator loss: 0.480913, acc: 0.773438] [adversarial loss: 1.310953, acc: 0.218750]
35415: [discriminator loss: 0.456280, acc: 0.750000] [adversarial loss: 1.407842, acc: 0.156250]
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35417: [discriminator loss: 0.503934, acc: 0.757812] [adversarial loss: 1.402171, acc: 0.187500]
35418: [discriminator loss: 0.451849, acc: 0.750000] [adversarial loss: 1.016559, acc: 0.468750]
35419: [discriminator loss: 0.446836, acc: 0.796875] [adversarial loss: 1.176003, acc: 0.406250]
35420: [discriminator loss: 0.514479, acc: 0.710938] [adversarial loss: 1.418897, acc: 0.203125]
35421: [discriminator loss: 0.534306, acc: 0.664062] [adversarial loss: 1.170457, acc: 0.390625]
35422: [discriminator loss: 0.661716, acc: 0.671875] [adversarial loss: 1.612665, acc: 0.078125]
35423: [discriminator loss: 0.504971, acc: 0.781250] [adversarial loss: 1.167995, acc: 0.265625]
35424: [discriminator loss: 0.504267, acc: 0.750000] [adversarial loss: 1.446872, acc: 0.218750]
35425: [discriminator loss: 0.547062, acc: 0.687500] [adversarial loss: 1.299815, acc: 0.218750]
35426: [discriminator loss: 0.517556, acc: 0.718750] [adversarial loss: 1.656259, acc: 0.109375]
35427: [discriminator loss: 0.540366, acc: 0.695312] [adversarial loss: 1.054903, acc: 0.343750]
35428: [discriminator loss: 0.457069, acc: 0.695312] [adversarial loss: 1.434328, acc: 0.171875]
35429: [discriminator loss: 0.535832, acc: 0.703125] [adversarial loss: 1.232094, acc: 0.250000]
35430: [discriminator loss: 0.490356, acc: 0.695312] [adversarial loss: 1.248775, acc: 0.296875]
35431: [discriminator loss: 0.454829, acc: 0.789062] [adversarial loss: 1.273539, acc: 0.265625]
35432: [discriminator loss: 0.540659, acc: 0.687500] [adversarial loss: 1.437095, acc: 0.250000]
35433: [discriminator loss: 0.479480, acc: 0.757812] [adversarial loss: 1.236893, acc: 0.328125]
35434: [discriminator loss: 0.519277, acc: 0.726562] [adversarial loss: 1.314677, acc: 0.234375]
35435: [discriminator loss: 0.512561, acc: 0.750000] [adversarial loss: 1.102679, acc: 0.281250]
35436: [discriminator loss: 0.478889, acc: 0.765625] [adversarial loss: 1.016210, acc: 0.421875]
35437: [discriminator loss: 0.550945, acc: 0.710938] [adversarial loss: 1.520613, acc: 0.140625]
35438: [discriminator loss: 0.534841, acc: 0.695312] [adversarial loss: 0.944187, acc: 0.406250]
35439: [discriminator loss: 0.535139, acc: 0.726562] [adversarial loss: 1.828710, acc: 0.078125]
35440: [discriminator loss: 0.626431, acc: 0.656250] [adversarial loss: 0.741092, acc: 0.562500]
35441: [discriminator loss: 0.467301, acc: 0.796875] [adversarial loss: 1.755396, acc: 0.156250]
35442: [discriminator loss: 0.614143, acc: 0.656250] [adversarial loss: 0.930593, acc: 0.500000]
35443: [discriminator loss: 0.570370, acc: 0.648438] [adversarial loss: 1.071553, acc: 0.312500]
35444: [discriminator loss: 0.605241, acc: 0.664062] [adversarial loss: 1.289667, acc: 0.203125]
35445: [discriminator loss: 0.532012, acc: 0.679688] [adversarial loss: 1.208731, acc: 0.203125]
35446: [discriminator loss: 0.613451, acc: 0.656250] [adversarial loss: 1.313033, acc: 0.281250]
35447: [discriminator loss: 0.516239, acc: 0.773438] [adversarial loss: 1.422009, acc: 0.140625]
35448: [discriminator loss: 0.506650, acc: 0.773438] [adversarial loss: 1.051424, acc: 0.390625]
35449: [discriminator loss: 0.566372, acc: 0.726562] [adversarial loss: 1.430474, acc: 0.156250]
35450: [discriminator loss: 0.467116, acc: 0.789062] [adversarial loss: 1.152012, acc: 0.328125]
35451: [discriminator loss: 0.544871, acc: 0.710938] [adversarial loss: 1.213140, acc: 0.328125]
35452: [discriminator loss: 0.548179, acc: 0.757812] [adversarial loss: 1.241486, acc: 0.296875]
35453: [discriminator loss: 0.486750, acc: 0.757812] [adversarial loss: 1.295773, acc: 0.234375]
35454: [discriminator loss: 0.499739, acc: 0.765625] [adversarial loss: 1.265458, acc: 0.156250]
35455: [discriminator loss: 0.544287, acc: 0.750000] [adversarial loss: 1.246584, acc: 0.234375]
35456: [discriminator loss: 0.494243, acc: 0.750000] [adversarial loss: 1.209413, acc: 0.296875]
35457: [discriminator loss: 0.431288, acc: 0.789062] [adversarial loss: 1.246671, acc: 0.250000]
35458: [discriminator loss: 0.540057, acc: 0.757812] [adversarial loss: 1.335483, acc: 0.203125]
35459: [discriminator loss: 0.448800, acc: 0.804688] [adversarial loss: 1.385912, acc: 0.156250]
35460: [discriminator loss: 0.479690, acc: 0.765625] [adversarial loss: 1.082678, acc: 0.375000]
35461: [discriminator loss: 0.483051, acc: 0.773438] [adversarial loss: 1.373106, acc: 0.203125]
35462: [discriminator loss: 0.546119, acc: 0.695312] [adversarial loss: 1.585579, acc: 0.093750]
35463: [discriminator loss: 0.549920, acc: 0.703125] [adversarial loss: 0.905078, acc: 0.453125]
35464: [discriminator loss: 0.525227, acc: 0.726562] [adversarial loss: 1.467244, acc: 0.140625]
35465: [discriminator loss: 0.533437, acc: 0.710938] [adversarial loss: 0.841885, acc: 0.578125]
35466: [discriminator loss: 0.559612, acc: 0.718750] [adversarial loss: 1.741805, acc: 0.140625]
35467: [discriminator loss: 0.518534, acc: 0.765625] [adversarial loss: 0.864846, acc: 0.468750]
35468: [discriminator loss: 0.612829, acc: 0.710938] [adversarial loss: 1.750854, acc: 0.046875]
35469: [discriminator loss: 0.533590, acc: 0.726562] [adversarial loss: 1.001680, acc: 0.359375]
35470: [discriminator loss: 0.476913, acc: 0.750000] [adversarial loss: 1.475430, acc: 0.265625]
35471: [discriminator loss: 0.501157, acc: 0.710938] [adversarial loss: 1.218834, acc: 0.296875]
35472: [discriminator loss: 0.493081, acc: 0.773438] [adversarial loss: 1.148377, acc: 0.390625]
35473: [discriminator loss: 0.455120, acc: 0.796875] [adversarial loss: 1.449290, acc: 0.203125]
35474: [discriminator loss: 0.472842, acc: 0.773438] [adversarial loss: 0.895793, acc: 0.546875]
35475: [discriminator loss: 0.493193, acc: 0.796875] [adversarial loss: 1.661107, acc: 0.140625]
35476: [discriminator loss: 0.554354, acc: 0.695312] [adversarial loss: 1.030716, acc: 0.390625]
35477: [discriminator loss: 0.454007, acc: 0.773438] [adversarial loss: 1.426211, acc: 0.109375]
35478: [discriminator loss: 0.508368, acc: 0.742188] [adversarial loss: 1.435816, acc: 0.281250]
35479: [discriminator loss: 0.445802, acc: 0.789062] [adversarial loss: 1.571829, acc: 0.187500]
35480: [discriminator loss: 0.438455, acc: 0.859375] [adversarial loss: 1.253363, acc: 0.250000]
35481: [discriminator loss: 0.553568, acc: 0.664062] [adversarial loss: 1.628861, acc: 0.125000]
35482: [discriminator loss: 0.556324, acc: 0.710938] [adversarial loss: 0.954599, acc: 0.468750]
35483: [discriminator loss: 0.572158, acc: 0.687500] [adversarial loss: 1.646821, acc: 0.156250]
35484: [discriminator loss: 0.412443, acc: 0.820312] [adversarial loss: 1.222178, acc: 0.234375]
35485: [discriminator loss: 0.451871, acc: 0.804688] [adversarial loss: 1.677176, acc: 0.171875]
35486: [discriminator loss: 0.517202, acc: 0.750000] [adversarial loss: 1.285526, acc: 0.312500]
35487: [discriminator loss: 0.487264, acc: 0.750000] [adversarial loss: 1.348135, acc: 0.187500]
35488: [discriminator loss: 0.438442, acc: 0.804688] [adversarial loss: 1.167732, acc: 0.375000]
35489: [discriminator loss: 0.480658, acc: 0.757812] [adversarial loss: 1.538204, acc: 0.234375]
35490: [discriminator loss: 0.536796, acc: 0.718750] [adversarial loss: 0.845410, acc: 0.515625]
35491: [discriminator loss: 0.616276, acc: 0.679688] [adversarial loss: 2.290429, acc: 0.000000]
35492: [discriminator loss: 0.592343, acc: 0.703125] [adversarial loss: 0.713083, acc: 0.593750]
35493: [discriminator loss: 0.564559, acc: 0.726562] [adversarial loss: 1.702263, acc: 0.093750]
35494: [discriminator loss: 0.565284, acc: 0.648438] [adversarial loss: 1.129400, acc: 0.328125]
35495: [discriminator loss: 0.468108, acc: 0.750000] [adversarial loss: 1.353220, acc: 0.234375]
35496: [discriminator loss: 0.528926, acc: 0.742188] [adversarial loss: 1.063193, acc: 0.328125]
35497: [discriminator loss: 0.412499, acc: 0.851562] [adversarial loss: 1.177889, acc: 0.328125]
35498: [discriminator loss: 0.525680, acc: 0.703125] [adversarial loss: 1.033893, acc: 0.421875]
35499: [discriminator loss: 0.477210, acc: 0.781250] [adversarial loss: 0.980075, acc: 0.421875]
35500: [discriminator loss: 0.556090, acc: 0.703125] [adversarial loss: 1.424428, acc: 0.218750]
35501: [discriminator loss: 0.510709, acc: 0.765625] [adversarial loss: 0.954889, acc: 0.421875]
35502: [discriminator loss: 0.463354, acc: 0.765625] [adversarial loss: 1.357105, acc: 0.265625]
35503: [discriminator loss: 0.502611, acc: 0.750000] [adversarial loss: 0.792375, acc: 0.515625]
35504: [discriminator loss: 0.557730, acc: 0.718750] [adversarial loss: 1.758009, acc: 0.156250]
35505: [discriminator loss: 0.511357, acc: 0.726562] [adversarial loss: 0.939913, acc: 0.359375]
35506: [discriminator loss: 0.515879, acc: 0.750000] [adversarial loss: 1.604528, acc: 0.093750]
35507: [discriminator loss: 0.550467, acc: 0.734375] [adversarial loss: 1.151409, acc: 0.359375]
35508: [discriminator loss: 0.502235, acc: 0.750000] [adversarial loss: 1.166715, acc: 0.296875]
35509: [discriminator loss: 0.545769, acc: 0.734375] [adversarial loss: 1.457460, acc: 0.125000]
35510: [discriminator loss: 0.437669, acc: 0.773438] [adversarial loss: 1.129657, acc: 0.281250]
35511: [discriminator loss: 0.531546, acc: 0.742188] [adversarial loss: 1.500010, acc: 0.156250]
35512: [discriminator loss: 0.537196, acc: 0.750000] [adversarial loss: 1.237194, acc: 0.234375]
35513: [discriminator loss: 0.566827, acc: 0.664062] [adversarial loss: 1.341530, acc: 0.281250]
35514: [discriminator loss: 0.532098, acc: 0.726562] [adversarial loss: 1.329522, acc: 0.156250]
35515: [discriminator loss: 0.471253, acc: 0.781250] [adversarial loss: 1.401340, acc: 0.218750]
35516: [discriminator loss: 0.517144, acc: 0.742188] [adversarial loss: 1.299466, acc: 0.218750]
35517: [discriminator loss: 0.468736, acc: 0.781250] [adversarial loss: 1.575323, acc: 0.125000]
35518: [discriminator loss: 0.544577, acc: 0.695312] [adversarial loss: 1.104545, acc: 0.265625]
35519: [discriminator loss: 0.561452, acc: 0.679688] [adversarial loss: 1.681002, acc: 0.078125]
35520: [discriminator loss: 0.540045, acc: 0.687500] [adversarial loss: 0.933930, acc: 0.390625]
35521: [discriminator loss: 0.546384, acc: 0.726562] [adversarial loss: 1.674542, acc: 0.046875]
35522: [discriminator loss: 0.562797, acc: 0.656250] [adversarial loss: 0.683524, acc: 0.625000]
35523: [discriminator loss: 0.583549, acc: 0.710938] [adversarial loss: 1.727902, acc: 0.125000]
35524: [discriminator loss: 0.582557, acc: 0.695312] [adversarial loss: 1.068684, acc: 0.296875]
35525: [discriminator loss: 0.510733, acc: 0.750000] [adversarial loss: 1.410557, acc: 0.218750]
35526: [discriminator loss: 0.501875, acc: 0.773438] [adversarial loss: 1.260004, acc: 0.234375]
35527: [discriminator loss: 0.543623, acc: 0.726562] [adversarial loss: 1.151902, acc: 0.250000]
35528: [discriminator loss: 0.439539, acc: 0.796875] [adversarial loss: 1.190311, acc: 0.281250]
35529: [discriminator loss: 0.459853, acc: 0.781250] [adversarial loss: 1.322991, acc: 0.218750]
35530: [discriminator loss: 0.501073, acc: 0.781250] [adversarial loss: 1.090223, acc: 0.265625]
35531: [discriminator loss: 0.462663, acc: 0.742188] [adversarial loss: 1.052159, acc: 0.296875]
35532: [discriminator loss: 0.488065, acc: 0.757812] [adversarial loss: 1.318909, acc: 0.250000]
35533: [discriminator loss: 0.427529, acc: 0.796875] [adversarial loss: 1.291701, acc: 0.203125]
35534: [discriminator loss: 0.525853, acc: 0.750000] [adversarial loss: 1.395098, acc: 0.187500]
35535: [discriminator loss: 0.462040, acc: 0.789062] [adversarial loss: 1.006456, acc: 0.390625]
35536: [discriminator loss: 0.573886, acc: 0.671875] [adversarial loss: 1.770401, acc: 0.125000]
35537: [discriminator loss: 0.526112, acc: 0.703125] [adversarial loss: 0.962013, acc: 0.406250]
35538: [discriminator loss: 0.554618, acc: 0.734375] [adversarial loss: 2.106104, acc: 0.093750]
35539: [discriminator loss: 0.574063, acc: 0.671875] [adversarial loss: 0.965448, acc: 0.437500]
35540: [discriminator loss: 0.519397, acc: 0.750000] [adversarial loss: 1.919573, acc: 0.078125]
35541: [discriminator loss: 0.537727, acc: 0.687500] [adversarial loss: 0.862423, acc: 0.546875]
35542: [discriminator loss: 0.627545, acc: 0.656250] [adversarial loss: 1.512667, acc: 0.171875]
35543: [discriminator loss: 0.508767, acc: 0.773438] [adversarial loss: 1.073173, acc: 0.343750]
35544: [discriminator loss: 0.564419, acc: 0.718750] [adversarial loss: 1.661579, acc: 0.125000]
35545: [discriminator loss: 0.539036, acc: 0.687500] [adversarial loss: 1.060185, acc: 0.421875]
35546: [discriminator loss: 0.484411, acc: 0.765625] [adversarial loss: 1.323606, acc: 0.234375]
35547: [discriminator loss: 0.484494, acc: 0.710938] [adversarial loss: 1.171621, acc: 0.203125]
35548: [discriminator loss: 0.477174, acc: 0.789062] [adversarial loss: 1.461264, acc: 0.156250]
35549: [discriminator loss: 0.431907, acc: 0.820312] [adversarial loss: 1.016373, acc: 0.437500]
35550: [discriminator loss: 0.439446, acc: 0.789062] [adversarial loss: 1.489300, acc: 0.203125]
35551: [discriminator loss: 0.446498, acc: 0.773438] [adversarial loss: 1.198328, acc: 0.265625]
35552: [discriminator loss: 0.508238, acc: 0.765625] [adversarial loss: 1.340183, acc: 0.187500]
35553: [discriminator loss: 0.561816, acc: 0.671875] [adversarial loss: 0.993489, acc: 0.515625]
35554: [discriminator loss: 0.510620, acc: 0.750000] [adversarial loss: 1.553406, acc: 0.218750]
35555: [discriminator loss: 0.541303, acc: 0.726562] [adversarial loss: 0.894337, acc: 0.484375]
35556: [discriminator loss: 0.551336, acc: 0.718750] [adversarial loss: 1.751426, acc: 0.093750]
35557: [discriminator loss: 0.512224, acc: 0.742188] [adversarial loss: 0.786929, acc: 0.515625]
35558: [discriminator loss: 0.585814, acc: 0.703125] [adversarial loss: 1.549537, acc: 0.156250]
35559: [discriminator loss: 0.541913, acc: 0.750000] [adversarial loss: 1.005579, acc: 0.375000]
35560: [discriminator loss: 0.509612, acc: 0.757812] [adversarial loss: 1.394277, acc: 0.187500]
35561: [discriminator loss: 0.573028, acc: 0.703125] [adversarial loss: 1.078014, acc: 0.343750]
35562: [discriminator loss: 0.468113, acc: 0.796875] [adversarial loss: 1.292721, acc: 0.296875]
35563: [discriminator loss: 0.469916, acc: 0.781250] [adversarial loss: 1.459065, acc: 0.187500]
35564: [discriminator loss: 0.575912, acc: 0.703125] [adversarial loss: 1.242947, acc: 0.265625]
35565: [discriminator loss: 0.537393, acc: 0.750000] [adversarial loss: 1.167798, acc: 0.265625]
35566: [discriminator loss: 0.543341, acc: 0.671875] [adversarial loss: 1.342128, acc: 0.234375]
35567: [discriminator loss: 0.553524, acc: 0.710938] [adversarial loss: 1.134439, acc: 0.375000]
35568: [discriminator loss: 0.546706, acc: 0.726562] [adversarial loss: 1.499832, acc: 0.140625]
35569: [discriminator loss: 0.531328, acc: 0.718750] [adversarial loss: 1.251230, acc: 0.203125]
35570: [discriminator loss: 0.539276, acc: 0.750000] [adversarial loss: 1.611057, acc: 0.125000]
35571: [discriminator loss: 0.515476, acc: 0.765625] [adversarial loss: 0.901810, acc: 0.453125]
35572: [discriminator loss: 0.569512, acc: 0.695312] [adversarial loss: 1.781720, acc: 0.093750]
35573: [discriminator loss: 0.528352, acc: 0.726562] [adversarial loss: 0.877939, acc: 0.468750]
35574: [discriminator loss: 0.494111, acc: 0.742188] [adversarial loss: 1.592140, acc: 0.171875]
35575: [discriminator loss: 0.607549, acc: 0.679688] [adversarial loss: 1.256134, acc: 0.265625]
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35577: [discriminator loss: 0.499586, acc: 0.726562] [adversarial loss: 1.656569, acc: 0.171875]
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35722: [discriminator loss: 0.424144, acc: 0.820312] [adversarial loss: 1.086454, acc: 0.359375]
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35758: [discriminator loss: 0.519226, acc: 0.710938] [adversarial loss: 1.173295, acc: 0.296875]
35759: [discriminator loss: 0.483560, acc: 0.750000] [adversarial loss: 1.326960, acc: 0.265625]
35760: [discriminator loss: 0.541209, acc: 0.718750] [adversarial loss: 1.253618, acc: 0.250000]
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35820: [discriminator loss: 0.511478, acc: 0.734375] [adversarial loss: 0.822084, acc: 0.562500]
35821: [discriminator loss: 0.468832, acc: 0.757812] [adversarial loss: 1.542470, acc: 0.109375]
35822: [discriminator loss: 0.530108, acc: 0.679688] [adversarial loss: 1.082952, acc: 0.328125]
35823: [discriminator loss: 0.522578, acc: 0.757812] [adversarial loss: 1.852560, acc: 0.093750]
35824: [discriminator loss: 0.489260, acc: 0.750000] [adversarial loss: 0.968040, acc: 0.390625]
35825: [discriminator loss: 0.595724, acc: 0.718750] [adversarial loss: 1.623424, acc: 0.140625]
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35830: [discriminator loss: 0.467829, acc: 0.750000] [adversarial loss: 1.186913, acc: 0.250000]
35831: [discriminator loss: 0.536587, acc: 0.679688] [adversarial loss: 1.578936, acc: 0.125000]
35832: [discriminator loss: 0.513534, acc: 0.718750] [adversarial loss: 1.206722, acc: 0.203125]
35833: [discriminator loss: 0.480538, acc: 0.804688] [adversarial loss: 1.227150, acc: 0.328125]
35834: [discriminator loss: 0.459521, acc: 0.773438] [adversarial loss: 1.455537, acc: 0.156250]
35835: [discriminator loss: 0.535105, acc: 0.718750] [adversarial loss: 0.960735, acc: 0.390625]
35836: [discriminator loss: 0.555412, acc: 0.687500] [adversarial loss: 1.698681, acc: 0.046875]
35837: [discriminator loss: 0.526401, acc: 0.742188] [adversarial loss: 1.030211, acc: 0.375000]
35838: [discriminator loss: 0.516587, acc: 0.718750] [adversarial loss: 1.768223, acc: 0.156250]
35839: [discriminator loss: 0.640249, acc: 0.687500] [adversarial loss: 1.084636, acc: 0.421875]
35840: [discriminator loss: 0.465164, acc: 0.757812] [adversarial loss: 1.580266, acc: 0.171875]
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35844: [discriminator loss: 0.545150, acc: 0.695312] [adversarial loss: 1.683633, acc: 0.093750]
35845: [discriminator loss: 0.484956, acc: 0.718750] [adversarial loss: 1.279327, acc: 0.312500]
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35847: [discriminator loss: 0.470802, acc: 0.765625] [adversarial loss: 1.179453, acc: 0.250000]
35848: [discriminator loss: 0.485232, acc: 0.750000] [adversarial loss: 1.032537, acc: 0.406250]
35849: [discriminator loss: 0.387106, acc: 0.843750] [adversarial loss: 1.291014, acc: 0.265625]
35850: [discriminator loss: 0.560951, acc: 0.679688] [adversarial loss: 0.893027, acc: 0.468750]
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35856: [discriminator loss: 0.462558, acc: 0.835938] [adversarial loss: 1.319408, acc: 0.203125]
35857: [discriminator loss: 0.512433, acc: 0.726562] [adversarial loss: 0.721225, acc: 0.625000]
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35859: [discriminator loss: 0.555364, acc: 0.710938] [adversarial loss: 0.747634, acc: 0.593750]
35860: [discriminator loss: 0.595015, acc: 0.679688] [adversarial loss: 2.018364, acc: 0.062500]
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35863: [discriminator loss: 0.517152, acc: 0.703125] [adversarial loss: 0.907618, acc: 0.390625]
35864: [discriminator loss: 0.447337, acc: 0.796875] [adversarial loss: 1.249130, acc: 0.187500]
35865: [discriminator loss: 0.527323, acc: 0.710938] [adversarial loss: 1.052195, acc: 0.390625]
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35870: [discriminator loss: 0.501879, acc: 0.710938] [adversarial loss: 1.210751, acc: 0.328125]
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35875: [discriminator loss: 0.462795, acc: 0.757812] [adversarial loss: 2.120120, acc: 0.078125]
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35880: [discriminator loss: 0.454952, acc: 0.789062] [adversarial loss: 1.297173, acc: 0.296875]
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35890: [discriminator loss: 0.493076, acc: 0.765625] [adversarial loss: 1.457261, acc: 0.187500]
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35895: [discriminator loss: 0.472460, acc: 0.757812] [adversarial loss: 0.736039, acc: 0.546875]
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35899: [discriminator loss: 0.571998, acc: 0.687500] [adversarial loss: 0.759780, acc: 0.531250]
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35901: [discriminator loss: 0.511246, acc: 0.726562] [adversarial loss: 0.890820, acc: 0.484375]
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35904: [discriminator loss: 0.415253, acc: 0.812500] [adversarial loss: 1.046221, acc: 0.406250]
35905: [discriminator loss: 0.458307, acc: 0.765625] [adversarial loss: 1.075435, acc: 0.375000]
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35908: [discriminator loss: 0.560713, acc: 0.664062] [adversarial loss: 1.006519, acc: 0.406250]
35909: [discriminator loss: 0.589036, acc: 0.656250] [adversarial loss: 1.346665, acc: 0.250000]
35910: [discriminator loss: 0.530747, acc: 0.695312] [adversarial loss: 0.993865, acc: 0.296875]
35911: [discriminator loss: 0.533239, acc: 0.718750] [adversarial loss: 1.605415, acc: 0.156250]
35912: [discriminator loss: 0.545182, acc: 0.710938] [adversarial loss: 1.054192, acc: 0.296875]
35913: [discriminator loss: 0.561403, acc: 0.703125] [adversarial loss: 1.513098, acc: 0.125000]
35914: [discriminator loss: 0.513270, acc: 0.734375] [adversarial loss: 1.321959, acc: 0.187500]
35915: [discriminator loss: 0.500107, acc: 0.742188] [adversarial loss: 1.233978, acc: 0.375000]
35916: [discriminator loss: 0.483302, acc: 0.765625] [adversarial loss: 1.069651, acc: 0.437500]
35917: [discriminator loss: 0.520088, acc: 0.757812] [adversarial loss: 1.548328, acc: 0.218750]
35918: [discriminator loss: 0.483189, acc: 0.734375] [adversarial loss: 1.011287, acc: 0.406250]
35919: [discriminator loss: 0.490514, acc: 0.734375] [adversarial loss: 0.988061, acc: 0.421875]
35920: [discriminator loss: 0.480928, acc: 0.718750] [adversarial loss: 1.566881, acc: 0.093750]
35921: [discriminator loss: 0.558223, acc: 0.671875] [adversarial loss: 0.771365, acc: 0.562500]
35922: [discriminator loss: 0.545123, acc: 0.710938] [adversarial loss: 1.778095, acc: 0.125000]
35923: [discriminator loss: 0.602280, acc: 0.710938] [adversarial loss: 0.865080, acc: 0.500000]
35924: [discriminator loss: 0.529670, acc: 0.750000] [adversarial loss: 1.620811, acc: 0.187500]
35925: [discriminator loss: 0.556063, acc: 0.710938] [adversarial loss: 1.190743, acc: 0.281250]
35926: [discriminator loss: 0.500486, acc: 0.773438] [adversarial loss: 1.340239, acc: 0.218750]
35927: [discriminator loss: 0.529568, acc: 0.726562] [adversarial loss: 1.460802, acc: 0.171875]
35928: [discriminator loss: 0.509843, acc: 0.710938] [adversarial loss: 1.538757, acc: 0.156250]
35929: [discriminator loss: 0.590472, acc: 0.671875] [adversarial loss: 0.900489, acc: 0.515625]
35930: [discriminator loss: 0.529383, acc: 0.703125] [adversarial loss: 1.679860, acc: 0.093750]
35931: [discriminator loss: 0.523170, acc: 0.710938] [adversarial loss: 0.887239, acc: 0.421875]
35932: [discriminator loss: 0.562702, acc: 0.679688] [adversarial loss: 1.503541, acc: 0.125000]
35933: [discriminator loss: 0.492187, acc: 0.804688] [adversarial loss: 1.244423, acc: 0.312500]
35934: [discriminator loss: 0.512066, acc: 0.726562] [adversarial loss: 1.101113, acc: 0.328125]
35935: [discriminator loss: 0.495206, acc: 0.742188] [adversarial loss: 1.500841, acc: 0.171875]
35936: [discriminator loss: 0.481131, acc: 0.765625] [adversarial loss: 1.101022, acc: 0.359375]
35937: [discriminator loss: 0.528230, acc: 0.726562] [adversarial loss: 1.310061, acc: 0.218750]
35938: [discriminator loss: 0.472890, acc: 0.796875] [adversarial loss: 1.182168, acc: 0.281250]
35939: [discriminator loss: 0.458253, acc: 0.789062] [adversarial loss: 1.154307, acc: 0.312500]
35940: [discriminator loss: 0.444243, acc: 0.765625] [adversarial loss: 1.313986, acc: 0.234375]
35941: [discriminator loss: 0.495640, acc: 0.726562] [adversarial loss: 0.942028, acc: 0.468750]
35942: [discriminator loss: 0.468939, acc: 0.781250] [adversarial loss: 1.530615, acc: 0.093750]
35943: [discriminator loss: 0.491798, acc: 0.781250] [adversarial loss: 1.133314, acc: 0.328125]
35944: [discriminator loss: 0.494449, acc: 0.757812] [adversarial loss: 1.139502, acc: 0.312500]
35945: [discriminator loss: 0.502684, acc: 0.742188] [adversarial loss: 1.300785, acc: 0.093750]
35946: [discriminator loss: 0.516700, acc: 0.718750] [adversarial loss: 0.937974, acc: 0.453125]
35947: [discriminator loss: 0.560657, acc: 0.726562] [adversarial loss: 1.311427, acc: 0.187500]
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36594: [discriminator loss: 0.494120, acc: 0.734375] [adversarial loss: 1.311568, acc: 0.281250]
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36600: [discriminator loss: 0.446081, acc: 0.796875] [adversarial loss: 1.212417, acc: 0.312500]
36601: [discriminator loss: 0.538291, acc: 0.742188] [adversarial loss: 1.323683, acc: 0.140625]
36602: [discriminator loss: 0.509997, acc: 0.750000] [adversarial loss: 1.495641, acc: 0.187500]
36603: [discriminator loss: 0.567517, acc: 0.726562] [adversarial loss: 0.909488, acc: 0.468750]
36604: [discriminator loss: 0.594022, acc: 0.656250] [adversarial loss: 1.714813, acc: 0.062500]
36605: [discriminator loss: 0.596009, acc: 0.664062] [adversarial loss: 1.039179, acc: 0.359375]
36606: [discriminator loss: 0.527476, acc: 0.765625] [adversarial loss: 1.609077, acc: 0.125000]
36607: [discriminator loss: 0.463626, acc: 0.789062] [adversarial loss: 1.352232, acc: 0.171875]
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36609: [discriminator loss: 0.485555, acc: 0.750000] [adversarial loss: 1.568611, acc: 0.140625]
36610: [discriminator loss: 0.557122, acc: 0.726562] [adversarial loss: 1.212526, acc: 0.234375]
36611: [discriminator loss: 0.439435, acc: 0.812500] [adversarial loss: 1.463015, acc: 0.187500]
36612: [discriminator loss: 0.500615, acc: 0.742188] [adversarial loss: 1.426170, acc: 0.109375]
36613: [discriminator loss: 0.485894, acc: 0.765625] [adversarial loss: 1.188035, acc: 0.234375]
36614: [discriminator loss: 0.487061, acc: 0.781250] [adversarial loss: 1.121300, acc: 0.328125]
36615: [discriminator loss: 0.506075, acc: 0.695312] [adversarial loss: 1.524650, acc: 0.156250]
36616: [discriminator loss: 0.530890, acc: 0.742188] [adversarial loss: 1.437948, acc: 0.250000]
36617: [discriminator loss: 0.482568, acc: 0.765625] [adversarial loss: 1.131033, acc: 0.328125]
36618: [discriminator loss: 0.520727, acc: 0.765625] [adversarial loss: 1.222333, acc: 0.375000]
36619: [discriminator loss: 0.501369, acc: 0.726562] [adversarial loss: 1.008117, acc: 0.390625]
36620: [discriminator loss: 0.506701, acc: 0.750000] [adversarial loss: 1.754605, acc: 0.109375]
36621: [discriminator loss: 0.506178, acc: 0.773438] [adversarial loss: 0.942238, acc: 0.437500]
36622: [discriminator loss: 0.527677, acc: 0.789062] [adversarial loss: 1.529405, acc: 0.125000]
36623: [discriminator loss: 0.544923, acc: 0.765625] [adversarial loss: 1.011995, acc: 0.390625]
36624: [discriminator loss: 0.539827, acc: 0.671875] [adversarial loss: 1.666771, acc: 0.093750]
36625: [discriminator loss: 0.543392, acc: 0.703125] [adversarial loss: 0.981468, acc: 0.406250]
36626: [discriminator loss: 0.499429, acc: 0.757812] [adversarial loss: 1.107299, acc: 0.343750]
36627: [discriminator loss: 0.520510, acc: 0.734375] [adversarial loss: 1.460132, acc: 0.250000]
36628: [discriminator loss: 0.545598, acc: 0.695312] [adversarial loss: 1.100997, acc: 0.312500]
36629: [discriminator loss: 0.577092, acc: 0.734375] [adversarial loss: 1.778382, acc: 0.156250]
36630: [discriminator loss: 0.472826, acc: 0.757812] [adversarial loss: 1.139707, acc: 0.250000]
36631: [discriminator loss: 0.499987, acc: 0.765625] [adversarial loss: 1.705243, acc: 0.140625]
36632: [discriminator loss: 0.553707, acc: 0.734375] [adversarial loss: 1.235720, acc: 0.343750]
36633: [discriminator loss: 0.494641, acc: 0.773438] [adversarial loss: 1.499736, acc: 0.156250]
36634: [discriminator loss: 0.502744, acc: 0.734375] [adversarial loss: 1.208129, acc: 0.265625]
36635: [discriminator loss: 0.507552, acc: 0.710938] [adversarial loss: 1.598568, acc: 0.171875]
36636: [discriminator loss: 0.554129, acc: 0.695312] [adversarial loss: 1.024156, acc: 0.328125]
36637: [discriminator loss: 0.458782, acc: 0.734375] [adversarial loss: 1.650947, acc: 0.187500]
36638: [discriminator loss: 0.605114, acc: 0.679688] [adversarial loss: 0.930538, acc: 0.421875]
36639: [discriminator loss: 0.572417, acc: 0.734375] [adversarial loss: 1.805689, acc: 0.125000]
36640: [discriminator loss: 0.577003, acc: 0.679688] [adversarial loss: 0.907386, acc: 0.484375]
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36650: [discriminator loss: 0.486118, acc: 0.781250] [adversarial loss: 1.478377, acc: 0.109375]
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36660: [discriminator loss: 0.466162, acc: 0.750000] [adversarial loss: 1.214204, acc: 0.265625]
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36664: [discriminator loss: 0.419055, acc: 0.843750] [adversarial loss: 1.210501, acc: 0.406250]
36665: [discriminator loss: 0.491647, acc: 0.773438] [adversarial loss: 1.359211, acc: 0.281250]
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36667: [discriminator loss: 0.495611, acc: 0.781250] [adversarial loss: 1.569724, acc: 0.109375]
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36669: [discriminator loss: 0.516999, acc: 0.757812] [adversarial loss: 1.703300, acc: 0.125000]
36670: [discriminator loss: 0.559277, acc: 0.718750] [adversarial loss: 1.109062, acc: 0.359375]
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36675: [discriminator loss: 0.599075, acc: 0.695312] [adversarial loss: 1.916271, acc: 0.078125]
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36680: [discriminator loss: 0.522064, acc: 0.765625] [adversarial loss: 1.627917, acc: 0.187500]
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36683: [discriminator loss: 0.537285, acc: 0.726562] [adversarial loss: 1.049683, acc: 0.421875]
36684: [discriminator loss: 0.436928, acc: 0.789062] [adversarial loss: 1.524061, acc: 0.218750]
36685: [discriminator loss: 0.466952, acc: 0.773438] [adversarial loss: 1.196603, acc: 0.328125]
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36687: [discriminator loss: 0.478997, acc: 0.765625] [adversarial loss: 1.185219, acc: 0.312500]
36688: [discriminator loss: 0.478982, acc: 0.796875] [adversarial loss: 1.767194, acc: 0.140625]
36689: [discriminator loss: 0.518954, acc: 0.742188] [adversarial loss: 1.093302, acc: 0.390625]
36690: [discriminator loss: 0.500695, acc: 0.750000] [adversarial loss: 1.450061, acc: 0.218750]
36691: [discriminator loss: 0.548305, acc: 0.664062] [adversarial loss: 1.159524, acc: 0.296875]
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37485: [discriminator loss: 0.542415, acc: 0.687500] [adversarial loss: 1.597637, acc: 0.156250]
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37495: [discriminator loss: 0.434772, acc: 0.773438] [adversarial loss: 1.855185, acc: 0.156250]
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37504: [discriminator loss: 0.605900, acc: 0.664062] [adversarial loss: 0.675577, acc: 0.625000]
37505: [discriminator loss: 0.533678, acc: 0.726562] [adversarial loss: 1.483153, acc: 0.218750]
37506: [discriminator loss: 0.575121, acc: 0.625000] [adversarial loss: 1.229717, acc: 0.265625]
37507: [discriminator loss: 0.531799, acc: 0.726562] [adversarial loss: 1.927818, acc: 0.046875]
37508: [discriminator loss: 0.531488, acc: 0.750000] [adversarial loss: 1.055995, acc: 0.375000]
37509: [discriminator loss: 0.477135, acc: 0.718750] [adversarial loss: 1.500022, acc: 0.171875]
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37512: [discriminator loss: 0.602724, acc: 0.640625] [adversarial loss: 1.181888, acc: 0.281250]
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37517: [discriminator loss: 0.612948, acc: 0.648438] [adversarial loss: 1.483703, acc: 0.218750]
37518: [discriminator loss: 0.505744, acc: 0.734375] [adversarial loss: 0.875499, acc: 0.468750]
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37520: [discriminator loss: 0.453732, acc: 0.789062] [adversarial loss: 1.179842, acc: 0.328125]
37521: [discriminator loss: 0.440182, acc: 0.773438] [adversarial loss: 1.813578, acc: 0.031250]
37522: [discriminator loss: 0.480071, acc: 0.781250] [adversarial loss: 1.234186, acc: 0.281250]
37523: [discriminator loss: 0.497991, acc: 0.781250] [adversarial loss: 1.356895, acc: 0.281250]
37524: [discriminator loss: 0.451254, acc: 0.796875] [adversarial loss: 1.409000, acc: 0.312500]
37525: [discriminator loss: 0.511585, acc: 0.734375] [adversarial loss: 1.127068, acc: 0.328125]
37526: [discriminator loss: 0.463405, acc: 0.789062] [adversarial loss: 1.424615, acc: 0.218750]
37527: [discriminator loss: 0.504065, acc: 0.703125] [adversarial loss: 0.828481, acc: 0.515625]
37528: [discriminator loss: 0.578692, acc: 0.710938] [adversarial loss: 1.891395, acc: 0.109375]
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37530: [discriminator loss: 0.527546, acc: 0.734375] [adversarial loss: 1.457597, acc: 0.093750]
37531: [discriminator loss: 0.515380, acc: 0.718750] [adversarial loss: 1.015516, acc: 0.421875]
37532: [discriminator loss: 0.584758, acc: 0.679688] [adversarial loss: 1.567280, acc: 0.078125]
37533: [discriminator loss: 0.559500, acc: 0.671875] [adversarial loss: 0.915985, acc: 0.406250]
37534: [discriminator loss: 0.608243, acc: 0.671875] [adversarial loss: 1.719070, acc: 0.062500]
37535: [discriminator loss: 0.555754, acc: 0.679688] [adversarial loss: 0.725919, acc: 0.609375]
37536: [discriminator loss: 0.607369, acc: 0.695312] [adversarial loss: 1.773977, acc: 0.078125]
37537: [discriminator loss: 0.536280, acc: 0.648438] [adversarial loss: 1.075061, acc: 0.375000]
37538: [discriminator loss: 0.541498, acc: 0.734375] [adversarial loss: 1.360638, acc: 0.250000]
37539: [discriminator loss: 0.515740, acc: 0.750000] [adversarial loss: 1.275074, acc: 0.218750]
37540: [discriminator loss: 0.512277, acc: 0.687500] [adversarial loss: 1.471823, acc: 0.171875]
37541: [discriminator loss: 0.505910, acc: 0.703125] [adversarial loss: 1.264479, acc: 0.281250]
37542: [discriminator loss: 0.494064, acc: 0.750000] [adversarial loss: 1.272873, acc: 0.312500]
37543: [discriminator loss: 0.472815, acc: 0.773438] [adversarial loss: 1.233645, acc: 0.250000]
37544: [discriminator loss: 0.510313, acc: 0.750000] [adversarial loss: 1.499389, acc: 0.156250]
37545: [discriminator loss: 0.472842, acc: 0.773438] [adversarial loss: 1.182986, acc: 0.234375]
37546: [discriminator loss: 0.507843, acc: 0.742188] [adversarial loss: 1.452750, acc: 0.140625]
37547: [discriminator loss: 0.490426, acc: 0.742188] [adversarial loss: 1.158190, acc: 0.312500]
37548: [discriminator loss: 0.451243, acc: 0.789062] [adversarial loss: 1.335818, acc: 0.171875]
37549: [discriminator loss: 0.490899, acc: 0.796875] [adversarial loss: 1.405697, acc: 0.281250]
37550: [discriminator loss: 0.570068, acc: 0.687500] [adversarial loss: 1.238943, acc: 0.312500]
37551: [discriminator loss: 0.599540, acc: 0.687500] [adversarial loss: 1.576581, acc: 0.156250]
37552: [discriminator loss: 0.475526, acc: 0.773438] [adversarial loss: 0.745845, acc: 0.546875]
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37555: [discriminator loss: 0.513629, acc: 0.726562] [adversarial loss: 1.764498, acc: 0.062500]
37556: [discriminator loss: 0.497873, acc: 0.804688] [adversarial loss: 1.246709, acc: 0.281250]
37557: [discriminator loss: 0.516007, acc: 0.726562] [adversarial loss: 1.354600, acc: 0.171875]
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37559: [discriminator loss: 0.508222, acc: 0.734375] [adversarial loss: 1.506863, acc: 0.156250]
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37561: [discriminator loss: 0.582784, acc: 0.671875] [adversarial loss: 1.351870, acc: 0.343750]
37562: [discriminator loss: 0.489484, acc: 0.765625] [adversarial loss: 1.251492, acc: 0.203125]
37563: [discriminator loss: 0.506092, acc: 0.726562] [adversarial loss: 1.116561, acc: 0.265625]
37564: [discriminator loss: 0.519992, acc: 0.773438] [adversarial loss: 1.360582, acc: 0.281250]
37565: [discriminator loss: 0.492324, acc: 0.750000] [adversarial loss: 1.484964, acc: 0.156250]
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37572: [discriminator loss: 0.619611, acc: 0.656250] [adversarial loss: 0.768547, acc: 0.515625]
37573: [discriminator loss: 0.542491, acc: 0.695312] [adversarial loss: 1.782528, acc: 0.078125]
37574: [discriminator loss: 0.544879, acc: 0.734375] [adversarial loss: 1.110207, acc: 0.312500]
37575: [discriminator loss: 0.575398, acc: 0.703125] [adversarial loss: 1.763842, acc: 0.062500]
37576: [discriminator loss: 0.552478, acc: 0.710938] [adversarial loss: 1.015180, acc: 0.328125]
37577: [discriminator loss: 0.490882, acc: 0.757812] [adversarial loss: 1.521549, acc: 0.140625]
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37580: [discriminator loss: 0.462636, acc: 0.789062] [adversarial loss: 1.535329, acc: 0.078125]
37581: [discriminator loss: 0.430653, acc: 0.789062] [adversarial loss: 1.475816, acc: 0.281250]
37582: [discriminator loss: 0.532583, acc: 0.742188] [adversarial loss: 1.360854, acc: 0.250000]
37583: [discriminator loss: 0.551634, acc: 0.703125] [adversarial loss: 1.287581, acc: 0.187500]
37584: [discriminator loss: 0.473971, acc: 0.789062] [adversarial loss: 1.690023, acc: 0.078125]
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37586: [discriminator loss: 0.503583, acc: 0.742188] [adversarial loss: 1.601221, acc: 0.156250]
37587: [discriminator loss: 0.447426, acc: 0.781250] [adversarial loss: 1.238638, acc: 0.265625]
37588: [discriminator loss: 0.545408, acc: 0.695312] [adversarial loss: 1.087636, acc: 0.328125]
37589: [discriminator loss: 0.546722, acc: 0.695312] [adversarial loss: 1.203713, acc: 0.296875]
37590: [discriminator loss: 0.486686, acc: 0.703125] [adversarial loss: 1.549158, acc: 0.125000]
37591: [discriminator loss: 0.456567, acc: 0.781250] [adversarial loss: 0.991351, acc: 0.390625]
37592: [discriminator loss: 0.608505, acc: 0.703125] [adversarial loss: 1.616218, acc: 0.125000]
37593: [discriminator loss: 0.519792, acc: 0.750000] [adversarial loss: 1.136501, acc: 0.312500]
37594: [discriminator loss: 0.491144, acc: 0.765625] [adversarial loss: 1.294463, acc: 0.265625]
37595: [discriminator loss: 0.579512, acc: 0.703125] [adversarial loss: 1.410510, acc: 0.171875]
37596: [discriminator loss: 0.473746, acc: 0.804688] [adversarial loss: 1.219559, acc: 0.265625]
37597: [discriminator loss: 0.554406, acc: 0.710938] [adversarial loss: 1.087014, acc: 0.265625]
37598: [discriminator loss: 0.509731, acc: 0.750000] [adversarial loss: 1.537911, acc: 0.156250]
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37600: [discriminator loss: 0.513032, acc: 0.726562] [adversarial loss: 1.197251, acc: 0.250000]
37601: [discriminator loss: 0.475973, acc: 0.726562] [adversarial loss: 1.274825, acc: 0.250000]
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37603: [discriminator loss: 0.533164, acc: 0.742188] [adversarial loss: 1.020220, acc: 0.390625]
37604: [discriminator loss: 0.509567, acc: 0.726562] [adversarial loss: 1.761017, acc: 0.187500]
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37606: [discriminator loss: 0.579870, acc: 0.695312] [adversarial loss: 1.293004, acc: 0.265625]
37607: [discriminator loss: 0.456872, acc: 0.773438] [adversarial loss: 1.004248, acc: 0.375000]
37608: [discriminator loss: 0.507937, acc: 0.750000] [adversarial loss: 1.610736, acc: 0.140625]
37609: [discriminator loss: 0.577145, acc: 0.695312] [adversarial loss: 1.243779, acc: 0.281250]
37610: [discriminator loss: 0.416085, acc: 0.828125] [adversarial loss: 1.521618, acc: 0.125000]
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37612: [discriminator loss: 0.476569, acc: 0.757812] [adversarial loss: 1.533768, acc: 0.218750]
37613: [discriminator loss: 0.562295, acc: 0.703125] [adversarial loss: 1.208487, acc: 0.265625]
37614: [discriminator loss: 0.564232, acc: 0.703125] [adversarial loss: 1.664858, acc: 0.078125]
37615: [discriminator loss: 0.571772, acc: 0.679688] [adversarial loss: 1.102197, acc: 0.343750]
37616: [discriminator loss: 0.450871, acc: 0.781250] [adversarial loss: 1.471898, acc: 0.125000]
37617: [discriminator loss: 0.495091, acc: 0.742188] [adversarial loss: 1.392576, acc: 0.203125]
37618: [discriminator loss: 0.494175, acc: 0.765625] [adversarial loss: 1.180566, acc: 0.281250]
37619: [discriminator loss: 0.477456, acc: 0.765625] [adversarial loss: 1.225932, acc: 0.296875]
37620: [discriminator loss: 0.536869, acc: 0.726562] [adversarial loss: 1.192208, acc: 0.328125]
37621: [discriminator loss: 0.504426, acc: 0.757812] [adversarial loss: 1.394711, acc: 0.265625]
37622: [discriminator loss: 0.499435, acc: 0.781250] [adversarial loss: 0.910750, acc: 0.359375]
37623: [discriminator loss: 0.499146, acc: 0.718750] [adversarial loss: 1.328009, acc: 0.312500]
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37625: [discriminator loss: 0.516815, acc: 0.718750] [adversarial loss: 1.667684, acc: 0.109375]
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37711: [discriminator loss: 0.433093, acc: 0.789062] [adversarial loss: 1.069000, acc: 0.390625]
37712: [discriminator loss: 0.535625, acc: 0.765625] [adversarial loss: 2.143454, acc: 0.062500]
37713: [discriminator loss: 0.584814, acc: 0.695312] [adversarial loss: 0.938303, acc: 0.453125]
37714: [discriminator loss: 0.551889, acc: 0.703125] [adversarial loss: 1.784456, acc: 0.109375]
37715: [discriminator loss: 0.570165, acc: 0.664062] [adversarial loss: 0.966096, acc: 0.359375]
37716: [discriminator loss: 0.508426, acc: 0.726562] [adversarial loss: 1.691194, acc: 0.031250]
37717: [discriminator loss: 0.527909, acc: 0.718750] [adversarial loss: 1.215147, acc: 0.296875]
37718: [discriminator loss: 0.479303, acc: 0.765625] [adversarial loss: 1.189839, acc: 0.265625]
37719: [discriminator loss: 0.469388, acc: 0.781250] [adversarial loss: 1.419031, acc: 0.171875]
37720: [discriminator loss: 0.428664, acc: 0.781250] [adversarial loss: 0.900959, acc: 0.484375]
37721: [discriminator loss: 0.457317, acc: 0.781250] [adversarial loss: 1.679590, acc: 0.109375]
37722: [discriminator loss: 0.509883, acc: 0.718750] [adversarial loss: 0.900249, acc: 0.437500]
37723: [discriminator loss: 0.610239, acc: 0.695312] [adversarial loss: 1.649520, acc: 0.109375]
37724: [discriminator loss: 0.495014, acc: 0.742188] [adversarial loss: 0.935682, acc: 0.500000]
37725: [discriminator loss: 0.544218, acc: 0.750000] [adversarial loss: 1.494804, acc: 0.203125]
37726: [discriminator loss: 0.488226, acc: 0.757812] [adversarial loss: 1.500111, acc: 0.187500]
37727: [discriminator loss: 0.509642, acc: 0.765625] [adversarial loss: 1.323589, acc: 0.250000]
37728: [discriminator loss: 0.511522, acc: 0.734375] [adversarial loss: 1.178664, acc: 0.328125]
37729: [discriminator loss: 0.541615, acc: 0.773438] [adversarial loss: 1.171952, acc: 0.328125]
37730: [discriminator loss: 0.531922, acc: 0.781250] [adversarial loss: 1.804798, acc: 0.062500]
37731: [discriminator loss: 0.433462, acc: 0.789062] [adversarial loss: 1.126451, acc: 0.343750]
37732: [discriminator loss: 0.523423, acc: 0.703125] [adversarial loss: 1.809175, acc: 0.109375]
37733: [discriminator loss: 0.505964, acc: 0.750000] [adversarial loss: 1.479753, acc: 0.187500]
37734: [discriminator loss: 0.422853, acc: 0.781250] [adversarial loss: 1.659915, acc: 0.093750]
37735: [discriminator loss: 0.499254, acc: 0.757812] [adversarial loss: 1.128363, acc: 0.265625]
37736: [discriminator loss: 0.471470, acc: 0.765625] [adversarial loss: 1.509129, acc: 0.171875]
37737: [discriminator loss: 0.524710, acc: 0.734375] [adversarial loss: 1.117821, acc: 0.421875]
37738: [discriminator loss: 0.507374, acc: 0.742188] [adversarial loss: 1.595043, acc: 0.203125]
37739: [discriminator loss: 0.549960, acc: 0.726562] [adversarial loss: 0.958678, acc: 0.437500]
37740: [discriminator loss: 0.568965, acc: 0.695312] [adversarial loss: 1.857399, acc: 0.062500]
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37742: [discriminator loss: 0.486373, acc: 0.781250] [adversarial loss: 1.452231, acc: 0.234375]
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37744: [discriminator loss: 0.583223, acc: 0.687500] [adversarial loss: 1.613503, acc: 0.156250]
37745: [discriminator loss: 0.534789, acc: 0.679688] [adversarial loss: 1.037799, acc: 0.359375]
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37748: [discriminator loss: 0.415186, acc: 0.835938] [adversarial loss: 1.238463, acc: 0.218750]
37749: [discriminator loss: 0.498266, acc: 0.710938] [adversarial loss: 1.125495, acc: 0.406250]
37750: [discriminator loss: 0.505925, acc: 0.750000] [adversarial loss: 1.211540, acc: 0.281250]
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37798: [discriminator loss: 0.521271, acc: 0.726562] [adversarial loss: 1.300222, acc: 0.187500]
37799: [discriminator loss: 0.488451, acc: 0.742188] [adversarial loss: 1.132969, acc: 0.296875]
37800: [discriminator loss: 0.521678, acc: 0.765625] [adversarial loss: 1.453899, acc: 0.156250]
37801: [discriminator loss: 0.461127, acc: 0.781250] [adversarial loss: 1.038031, acc: 0.453125]
37802: [discriminator loss: 0.535995, acc: 0.687500] [adversarial loss: 2.009202, acc: 0.046875]
37803: [discriminator loss: 0.526048, acc: 0.750000] [adversarial loss: 0.965423, acc: 0.343750]
37804: [discriminator loss: 0.517696, acc: 0.718750] [adversarial loss: 1.749847, acc: 0.125000]
37805: [discriminator loss: 0.441469, acc: 0.796875] [adversarial loss: 1.008420, acc: 0.359375]
37806: [discriminator loss: 0.478487, acc: 0.742188] [adversarial loss: 1.496506, acc: 0.218750]
37807: [discriminator loss: 0.553997, acc: 0.750000] [adversarial loss: 1.282528, acc: 0.375000]
37808: [discriminator loss: 0.461581, acc: 0.773438] [adversarial loss: 1.449421, acc: 0.203125]
37809: [discriminator loss: 0.492039, acc: 0.765625] [adversarial loss: 1.069726, acc: 0.281250]
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37811: [discriminator loss: 0.506635, acc: 0.757812] [adversarial loss: 0.906326, acc: 0.437500]
37812: [discriminator loss: 0.505999, acc: 0.742188] [adversarial loss: 1.721196, acc: 0.062500]
37813: [discriminator loss: 0.471182, acc: 0.789062] [adversarial loss: 1.167318, acc: 0.296875]
37814: [discriminator loss: 0.568652, acc: 0.703125] [adversarial loss: 1.789650, acc: 0.109375]
37815: [discriminator loss: 0.517887, acc: 0.765625] [adversarial loss: 1.070676, acc: 0.343750]
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37817: [discriminator loss: 0.443131, acc: 0.765625] [adversarial loss: 1.539976, acc: 0.218750]
37818: [discriminator loss: 0.495579, acc: 0.687500] [adversarial loss: 1.178512, acc: 0.281250]
37819: [discriminator loss: 0.466445, acc: 0.765625] [adversarial loss: 1.324837, acc: 0.187500]
37820: [discriminator loss: 0.476782, acc: 0.796875] [adversarial loss: 1.412382, acc: 0.234375]
37821: [discriminator loss: 0.444336, acc: 0.773438] [adversarial loss: 1.165038, acc: 0.328125]
37822: [discriminator loss: 0.467360, acc: 0.789062] [adversarial loss: 1.673092, acc: 0.187500]
37823: [discriminator loss: 0.499432, acc: 0.734375] [adversarial loss: 1.435475, acc: 0.156250]
37824: [discriminator loss: 0.512434, acc: 0.742188] [adversarial loss: 1.512077, acc: 0.171875]
37825: [discriminator loss: 0.480852, acc: 0.757812] [adversarial loss: 1.276185, acc: 0.265625]
37826: [discriminator loss: 0.512820, acc: 0.750000] [adversarial loss: 1.584318, acc: 0.218750]
37827: [discriminator loss: 0.525490, acc: 0.726562] [adversarial loss: 0.928733, acc: 0.406250]
37828: [discriminator loss: 0.480994, acc: 0.757812] [adversarial loss: 1.653256, acc: 0.109375]
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37830: [discriminator loss: 0.503814, acc: 0.773438] [adversarial loss: 1.856558, acc: 0.093750]
37831: [discriminator loss: 0.553953, acc: 0.734375] [adversarial loss: 0.954820, acc: 0.375000]
37832: [discriminator loss: 0.520394, acc: 0.734375] [adversarial loss: 1.616558, acc: 0.187500]
37833: [discriminator loss: 0.494023, acc: 0.703125] [adversarial loss: 0.956575, acc: 0.421875]
37834: [discriminator loss: 0.565263, acc: 0.703125] [adversarial loss: 1.792107, acc: 0.093750]
37835: [discriminator loss: 0.606938, acc: 0.710938] [adversarial loss: 1.005646, acc: 0.312500]
37836: [discriminator loss: 0.542435, acc: 0.734375] [adversarial loss: 1.441789, acc: 0.125000]
37837: [discriminator loss: 0.414374, acc: 0.789062] [adversarial loss: 1.759221, acc: 0.078125]
37838: [discriminator loss: 0.493609, acc: 0.757812] [adversarial loss: 1.520930, acc: 0.156250]
37839: [discriminator loss: 0.572188, acc: 0.710938] [adversarial loss: 0.872925, acc: 0.453125]
37840: [discriminator loss: 0.516936, acc: 0.718750] [adversarial loss: 1.950329, acc: 0.046875]
37841: [discriminator loss: 0.681559, acc: 0.656250] [adversarial loss: 0.859011, acc: 0.484375]
37842: [discriminator loss: 0.609502, acc: 0.648438] [adversarial loss: 1.923971, acc: 0.046875]
37843: [discriminator loss: 0.523288, acc: 0.750000] [adversarial loss: 1.453321, acc: 0.203125]
37844: [discriminator loss: 0.496808, acc: 0.750000] [adversarial loss: 1.224292, acc: 0.250000]
37845: [discriminator loss: 0.446287, acc: 0.781250] [adversarial loss: 1.622531, acc: 0.125000]
37846: [discriminator loss: 0.482965, acc: 0.757812] [adversarial loss: 0.993469, acc: 0.406250]
37847: [discriminator loss: 0.472189, acc: 0.710938] [adversarial loss: 1.806458, acc: 0.078125]
37848: [discriminator loss: 0.514289, acc: 0.695312] [adversarial loss: 0.976700, acc: 0.453125]
37849: [discriminator loss: 0.528008, acc: 0.726562] [adversarial loss: 1.606516, acc: 0.093750]
37850: [discriminator loss: 0.507704, acc: 0.742188] [adversarial loss: 1.248655, acc: 0.265625]
37851: [discriminator loss: 0.507069, acc: 0.742188] [adversarial loss: 1.511436, acc: 0.171875]
37852: [discriminator loss: 0.520085, acc: 0.695312] [adversarial loss: 1.240152, acc: 0.265625]
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37856: [discriminator loss: 0.522713, acc: 0.726562] [adversarial loss: 1.598336, acc: 0.171875]
37857: [discriminator loss: 0.566096, acc: 0.703125] [adversarial loss: 1.146196, acc: 0.328125]
37858: [discriminator loss: 0.511755, acc: 0.757812] [adversarial loss: 1.117450, acc: 0.328125]
37859: [discriminator loss: 0.447991, acc: 0.773438] [adversarial loss: 1.664489, acc: 0.156250]
37860: [discriminator loss: 0.480204, acc: 0.789062] [adversarial loss: 1.118896, acc: 0.375000]
37861: [discriminator loss: 0.463429, acc: 0.773438] [adversarial loss: 1.616737, acc: 0.218750]
37862: [discriminator loss: 0.538470, acc: 0.734375] [adversarial loss: 1.076951, acc: 0.421875]
37863: [discriminator loss: 0.495742, acc: 0.765625] [adversarial loss: 1.703989, acc: 0.078125]
37864: [discriminator loss: 0.579690, acc: 0.671875] [adversarial loss: 1.105366, acc: 0.296875]
37865: [discriminator loss: 0.507030, acc: 0.765625] [adversarial loss: 1.532677, acc: 0.156250]
37866: [discriminator loss: 0.485176, acc: 0.789062] [adversarial loss: 0.998941, acc: 0.406250]
37867: [discriminator loss: 0.594784, acc: 0.687500] [adversarial loss: 1.682741, acc: 0.140625]
37868: [discriminator loss: 0.611146, acc: 0.656250] [adversarial loss: 0.955901, acc: 0.437500]
37869: [discriminator loss: 0.503495, acc: 0.765625] [adversarial loss: 1.474726, acc: 0.218750]
37870: [discriminator loss: 0.558421, acc: 0.687500] [adversarial loss: 1.075097, acc: 0.328125]
37871: [discriminator loss: 0.524569, acc: 0.757812] [adversarial loss: 1.409390, acc: 0.234375]
37872: [discriminator loss: 0.592351, acc: 0.695312] [adversarial loss: 1.124732, acc: 0.390625]
37873: [discriminator loss: 0.491445, acc: 0.781250] [adversarial loss: 1.408713, acc: 0.187500]
37874: [discriminator loss: 0.551112, acc: 0.726562] [adversarial loss: 1.359828, acc: 0.234375]
37875: [discriminator loss: 0.524917, acc: 0.726562] [adversarial loss: 1.728064, acc: 0.093750]
37876: [discriminator loss: 0.531150, acc: 0.710938] [adversarial loss: 1.204342, acc: 0.312500]
37877: [discriminator loss: 0.460990, acc: 0.757812] [adversarial loss: 1.541404, acc: 0.171875]
37878: [discriminator loss: 0.525471, acc: 0.710938] [adversarial loss: 1.241616, acc: 0.281250]
37879: [discriminator loss: 0.469701, acc: 0.773438] [adversarial loss: 1.581324, acc: 0.156250]
37880: [discriminator loss: 0.480137, acc: 0.750000] [adversarial loss: 1.045302, acc: 0.343750]
37881: [discriminator loss: 0.445758, acc: 0.773438] [adversarial loss: 1.508598, acc: 0.140625]
37882: [discriminator loss: 0.542277, acc: 0.726562] [adversarial loss: 1.419969, acc: 0.218750]
37883: [discriminator loss: 0.555507, acc: 0.765625] [adversarial loss: 1.038880, acc: 0.281250]
37884: [discriminator loss: 0.526943, acc: 0.757812] [adversarial loss: 1.904313, acc: 0.031250]
37885: [discriminator loss: 0.463414, acc: 0.757812] [adversarial loss: 1.222110, acc: 0.234375]
37886: [discriminator loss: 0.472741, acc: 0.773438] [adversarial loss: 1.627380, acc: 0.109375]
37887: [discriminator loss: 0.596471, acc: 0.695312] [adversarial loss: 1.319101, acc: 0.203125]
37888: [discriminator loss: 0.490352, acc: 0.796875] [adversarial loss: 1.565081, acc: 0.140625]
37889: [discriminator loss: 0.473699, acc: 0.781250] [adversarial loss: 1.288074, acc: 0.218750]
37890: [discriminator loss: 0.502135, acc: 0.765625] [adversarial loss: 1.051779, acc: 0.359375]
37891: [discriminator loss: 0.442902, acc: 0.789062] [adversarial loss: 1.347995, acc: 0.203125]
37892: [discriminator loss: 0.472373, acc: 0.773438] [adversarial loss: 1.177081, acc: 0.328125]
37893: [discriminator loss: 0.518251, acc: 0.710938] [adversarial loss: 1.598181, acc: 0.187500]
37894: [discriminator loss: 0.522254, acc: 0.718750] [adversarial loss: 1.004995, acc: 0.328125]
37895: [discriminator loss: 0.534846, acc: 0.703125] [adversarial loss: 1.410120, acc: 0.203125]
37896: [discriminator loss: 0.499454, acc: 0.726562] [adversarial loss: 1.209042, acc: 0.265625]
37897: [discriminator loss: 0.482784, acc: 0.773438] [adversarial loss: 1.851366, acc: 0.093750]
37898: [discriminator loss: 0.525966, acc: 0.796875] [adversarial loss: 0.797081, acc: 0.531250]
37899: [discriminator loss: 0.568507, acc: 0.710938] [adversarial loss: 1.706312, acc: 0.093750]
37900: [discriminator loss: 0.494209, acc: 0.726562] [adversarial loss: 1.338524, acc: 0.265625]
37901: [discriminator loss: 0.495375, acc: 0.773438] [adversarial loss: 1.471292, acc: 0.156250]
37902: [discriminator loss: 0.551904, acc: 0.703125] [adversarial loss: 1.215869, acc: 0.359375]
37903: [discriminator loss: 0.450125, acc: 0.804688] [adversarial loss: 1.654443, acc: 0.140625]
37904: [discriminator loss: 0.539865, acc: 0.742188] [adversarial loss: 1.050456, acc: 0.406250]
37905: [discriminator loss: 0.552288, acc: 0.710938] [adversarial loss: 1.668674, acc: 0.109375]
37906: [discriminator loss: 0.506563, acc: 0.734375] [adversarial loss: 1.508496, acc: 0.203125]
37907: [discriminator loss: 0.474701, acc: 0.781250] [adversarial loss: 1.113512, acc: 0.437500]
37908: [discriminator loss: 0.495126, acc: 0.789062] [adversarial loss: 1.655291, acc: 0.140625]
37909: [discriminator loss: 0.501665, acc: 0.765625] [adversarial loss: 0.967710, acc: 0.390625]
37910: [discriminator loss: 0.513335, acc: 0.726562] [adversarial loss: 2.063354, acc: 0.031250]
37911: [discriminator loss: 0.584341, acc: 0.710938] [adversarial loss: 0.805491, acc: 0.515625]
37912: [discriminator loss: 0.571333, acc: 0.695312] [adversarial loss: 1.552480, acc: 0.140625]
37913: [discriminator loss: 0.481070, acc: 0.789062] [adversarial loss: 0.940246, acc: 0.390625]
37914: [discriminator loss: 0.451474, acc: 0.773438] [adversarial loss: 1.293391, acc: 0.250000]
37915: [discriminator loss: 0.446395, acc: 0.796875] [adversarial loss: 0.841584, acc: 0.437500]
37916: [discriminator loss: 0.574865, acc: 0.656250] [adversarial loss: 1.590917, acc: 0.171875]
37917: [discriminator loss: 0.542079, acc: 0.671875] [adversarial loss: 1.050882, acc: 0.359375]
37918: [discriminator loss: 0.468640, acc: 0.804688] [adversarial loss: 1.321241, acc: 0.218750]
37919: [discriminator loss: 0.471197, acc: 0.796875] [adversarial loss: 0.839526, acc: 0.515625]
37920: [discriminator loss: 0.446206, acc: 0.796875] [adversarial loss: 1.360420, acc: 0.265625]
37921: [discriminator loss: 0.455655, acc: 0.789062] [adversarial loss: 1.218435, acc: 0.218750]
37922: [discriminator loss: 0.524251, acc: 0.750000] [adversarial loss: 1.284823, acc: 0.250000]
37923: [discriminator loss: 0.514244, acc: 0.757812] [adversarial loss: 1.565042, acc: 0.156250]
37924: [discriminator loss: 0.501826, acc: 0.773438] [adversarial loss: 1.118681, acc: 0.359375]
37925: [discriminator loss: 0.610940, acc: 0.710938] [adversarial loss: 1.937705, acc: 0.078125]
37926: [discriminator loss: 0.564796, acc: 0.718750] [adversarial loss: 0.735792, acc: 0.609375]
37927: [discriminator loss: 0.646446, acc: 0.671875] [adversarial loss: 1.749857, acc: 0.078125]
37928: [discriminator loss: 0.493432, acc: 0.726562] [adversarial loss: 1.008789, acc: 0.437500]
37929: [discriminator loss: 0.608467, acc: 0.679688] [adversarial loss: 1.538765, acc: 0.140625]
37930: [discriminator loss: 0.480847, acc: 0.765625] [adversarial loss: 1.268277, acc: 0.281250]
37931: [discriminator loss: 0.476809, acc: 0.765625] [adversarial loss: 1.694068, acc: 0.078125]
37932: [discriminator loss: 0.436298, acc: 0.773438] [adversarial loss: 1.248230, acc: 0.265625]
37933: [discriminator loss: 0.495207, acc: 0.734375] [adversarial loss: 1.621212, acc: 0.046875]
37934: [discriminator loss: 0.580892, acc: 0.710938] [adversarial loss: 1.005677, acc: 0.359375]
37935: [discriminator loss: 0.510773, acc: 0.757812] [adversarial loss: 1.504976, acc: 0.140625]
37936: [discriminator loss: 0.484423, acc: 0.734375] [adversarial loss: 1.304495, acc: 0.234375]
37937: [discriminator loss: 0.492053, acc: 0.796875] [adversarial loss: 1.032503, acc: 0.406250]
37938: [discriminator loss: 0.515670, acc: 0.750000] [adversarial loss: 1.463655, acc: 0.171875]
37939: [discriminator loss: 0.451545, acc: 0.765625] [adversarial loss: 1.261395, acc: 0.218750]
37940: [discriminator loss: 0.510629, acc: 0.757812] [adversarial loss: 1.595281, acc: 0.125000]
37941: [discriminator loss: 0.468741, acc: 0.781250] [adversarial loss: 1.160640, acc: 0.328125]
37942: [discriminator loss: 0.523189, acc: 0.773438] [adversarial loss: 1.729196, acc: 0.062500]
37943: [discriminator loss: 0.509062, acc: 0.773438] [adversarial loss: 1.061973, acc: 0.312500]
37944: [discriminator loss: 0.541735, acc: 0.710938] [adversarial loss: 1.492848, acc: 0.250000]
37945: [discriminator loss: 0.492920, acc: 0.750000] [adversarial loss: 1.184387, acc: 0.281250]
37946: [discriminator loss: 0.464424, acc: 0.781250] [adversarial loss: 1.096699, acc: 0.359375]
37947: [discriminator loss: 0.470156, acc: 0.757812] [adversarial loss: 1.084077, acc: 0.375000]
37948: [discriminator loss: 0.520759, acc: 0.750000] [adversarial loss: 1.546558, acc: 0.140625]
37949: [discriminator loss: 0.460933, acc: 0.804688] [adversarial loss: 0.973422, acc: 0.390625]
37950: [discriminator loss: 0.555587, acc: 0.695312] [adversarial loss: 1.501783, acc: 0.171875]
37951: [discriminator loss: 0.521641, acc: 0.773438] [adversarial loss: 0.770098, acc: 0.515625]
37952: [discriminator loss: 0.504929, acc: 0.710938] [adversarial loss: 1.670962, acc: 0.140625]
37953: [discriminator loss: 0.510272, acc: 0.726562] [adversarial loss: 1.040482, acc: 0.390625]
37954: [discriminator loss: 0.487444, acc: 0.789062] [adversarial loss: 1.300835, acc: 0.312500]
37955: [discriminator loss: 0.578530, acc: 0.687500] [adversarial loss: 1.171135, acc: 0.312500]
37956: [discriminator loss: 0.597621, acc: 0.648438] [adversarial loss: 1.355136, acc: 0.218750]
37957: [discriminator loss: 0.507590, acc: 0.695312] [adversarial loss: 1.262113, acc: 0.265625]
37958: [discriminator loss: 0.494546, acc: 0.750000] [adversarial loss: 0.973179, acc: 0.343750]
37959: [discriminator loss: 0.520718, acc: 0.648438] [adversarial loss: 1.588642, acc: 0.187500]
37960: [discriminator loss: 0.488845, acc: 0.726562] [adversarial loss: 1.056301, acc: 0.359375]
37961: [discriminator loss: 0.489387, acc: 0.765625] [adversarial loss: 1.623463, acc: 0.109375]
37962: [discriminator loss: 0.589720, acc: 0.687500] [adversarial loss: 1.076643, acc: 0.359375]
37963: [discriminator loss: 0.529535, acc: 0.742188] [adversarial loss: 1.661048, acc: 0.062500]
37964: [discriminator loss: 0.498287, acc: 0.781250] [adversarial loss: 0.920254, acc: 0.515625]
37965: [discriminator loss: 0.510735, acc: 0.750000] [adversarial loss: 1.534455, acc: 0.265625]
37966: [discriminator loss: 0.544432, acc: 0.718750] [adversarial loss: 1.192597, acc: 0.296875]
37967: [discriminator loss: 0.539533, acc: 0.726562] [adversarial loss: 1.510400, acc: 0.156250]
37968: [discriminator loss: 0.487902, acc: 0.726562] [adversarial loss: 1.235365, acc: 0.250000]
37969: [discriminator loss: 0.466434, acc: 0.796875] [adversarial loss: 1.249007, acc: 0.281250]
37970: [discriminator loss: 0.539034, acc: 0.750000] [adversarial loss: 1.487459, acc: 0.171875]
37971: [discriminator loss: 0.596809, acc: 0.679688] [adversarial loss: 1.233380, acc: 0.234375]
37972: [discriminator loss: 0.490128, acc: 0.726562] [adversarial loss: 1.313787, acc: 0.250000]
37973: [discriminator loss: 0.512937, acc: 0.742188] [adversarial loss: 0.982767, acc: 0.390625]
37974: [discriminator loss: 0.526021, acc: 0.742188] [adversarial loss: 1.223526, acc: 0.203125]
37975: [discriminator loss: 0.452606, acc: 0.812500] [adversarial loss: 1.273751, acc: 0.250000]
37976: [discriminator loss: 0.504594, acc: 0.734375] [adversarial loss: 1.153885, acc: 0.390625]
37977: [discriminator loss: 0.460243, acc: 0.796875] [adversarial loss: 1.370160, acc: 0.187500]
37978: [discriminator loss: 0.511135, acc: 0.765625] [adversarial loss: 1.376191, acc: 0.234375]
37979: [discriminator loss: 0.453633, acc: 0.804688] [adversarial loss: 1.222436, acc: 0.218750]
37980: [discriminator loss: 0.580208, acc: 0.679688] [adversarial loss: 1.605742, acc: 0.125000]
37981: [discriminator loss: 0.524914, acc: 0.742188] [adversarial loss: 0.935858, acc: 0.437500]
37982: [discriminator loss: 0.563089, acc: 0.757812] [adversarial loss: 1.851839, acc: 0.078125]
37983: [discriminator loss: 0.547459, acc: 0.718750] [adversarial loss: 1.039172, acc: 0.406250]
37984: [discriminator loss: 0.470191, acc: 0.765625] [adversarial loss: 1.577661, acc: 0.062500]
37985: [discriminator loss: 0.463732, acc: 0.789062] [adversarial loss: 1.343640, acc: 0.312500]
37986: [discriminator loss: 0.527346, acc: 0.710938] [adversarial loss: 1.309894, acc: 0.281250]
37987: [discriminator loss: 0.524316, acc: 0.757812] [adversarial loss: 1.260497, acc: 0.281250]
37988: [discriminator loss: 0.513089, acc: 0.750000] [adversarial loss: 1.236265, acc: 0.328125]
37989: [discriminator loss: 0.523919, acc: 0.734375] [adversarial loss: 1.215991, acc: 0.171875]
37990: [discriminator loss: 0.421313, acc: 0.789062] [adversarial loss: 1.181589, acc: 0.312500]
37991: [discriminator loss: 0.546475, acc: 0.734375] [adversarial loss: 1.281398, acc: 0.328125]
37992: [discriminator loss: 0.469842, acc: 0.796875] [adversarial loss: 1.497319, acc: 0.250000]
37993: [discriminator loss: 0.523593, acc: 0.781250] [adversarial loss: 1.177680, acc: 0.296875]
37994: [discriminator loss: 0.480603, acc: 0.750000] [adversarial loss: 1.241763, acc: 0.359375]
37995: [discriminator loss: 0.543678, acc: 0.640625] [adversarial loss: 1.163409, acc: 0.343750]
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38437: [discriminator loss: 0.450474, acc: 0.757812] [adversarial loss: 1.443733, acc: 0.156250]
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38445: [discriminator loss: 0.431140, acc: 0.773438] [adversarial loss: 1.474839, acc: 0.203125]
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38453: [discriminator loss: 0.514850, acc: 0.742188] [adversarial loss: 1.377161, acc: 0.109375]
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38457: [discriminator loss: 0.608328, acc: 0.695312] [adversarial loss: 1.167163, acc: 0.296875]
38458: [discriminator loss: 0.454604, acc: 0.789062] [adversarial loss: 1.507071, acc: 0.125000]
38459: [discriminator loss: 0.526825, acc: 0.742188] [adversarial loss: 1.178208, acc: 0.328125]
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38463: [discriminator loss: 0.500029, acc: 0.757812] [adversarial loss: 1.188252, acc: 0.296875]
38464: [discriminator loss: 0.470982, acc: 0.820312] [adversarial loss: 1.175724, acc: 0.296875]
38465: [discriminator loss: 0.534575, acc: 0.679688] [adversarial loss: 0.803124, acc: 0.546875]
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38469: [discriminator loss: 0.585547, acc: 0.695312] [adversarial loss: 1.433729, acc: 0.187500]
38470: [discriminator loss: 0.465576, acc: 0.804688] [adversarial loss: 1.450512, acc: 0.218750]
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38474: [discriminator loss: 0.448498, acc: 0.773438] [adversarial loss: 1.336451, acc: 0.234375]
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38476: [discriminator loss: 0.507077, acc: 0.765625] [adversarial loss: 1.937228, acc: 0.062500]
38477: [discriminator loss: 0.517049, acc: 0.750000] [adversarial loss: 1.237935, acc: 0.265625]
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38494: [discriminator loss: 0.502807, acc: 0.726562] [adversarial loss: 1.290364, acc: 0.250000]
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38501: [discriminator loss: 0.521220, acc: 0.781250] [adversarial loss: 1.535638, acc: 0.171875]
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38503: [discriminator loss: 0.406890, acc: 0.835938] [adversarial loss: 1.395707, acc: 0.265625]
38504: [discriminator loss: 0.458358, acc: 0.773438] [adversarial loss: 0.970174, acc: 0.390625]
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38509: [discriminator loss: 0.539660, acc: 0.695312] [adversarial loss: 0.992227, acc: 0.343750]
38510: [discriminator loss: 0.483977, acc: 0.718750] [adversarial loss: 1.754113, acc: 0.109375]
38511: [discriminator loss: 0.505490, acc: 0.703125] [adversarial loss: 1.093277, acc: 0.390625]
38512: [discriminator loss: 0.506798, acc: 0.710938] [adversarial loss: 1.388712, acc: 0.218750]
38513: [discriminator loss: 0.438140, acc: 0.781250] [adversarial loss: 1.473137, acc: 0.296875]
38514: [discriminator loss: 0.496708, acc: 0.765625] [adversarial loss: 1.081936, acc: 0.312500]
38515: [discriminator loss: 0.455738, acc: 0.742188] [adversarial loss: 1.229904, acc: 0.218750]
38516: [discriminator loss: 0.419406, acc: 0.828125] [adversarial loss: 1.217901, acc: 0.296875]
38517: [discriminator loss: 0.524101, acc: 0.710938] [adversarial loss: 1.751837, acc: 0.140625]
38518: [discriminator loss: 0.586740, acc: 0.648438] [adversarial loss: 0.983780, acc: 0.375000]
38519: [discriminator loss: 0.563011, acc: 0.679688] [adversarial loss: 1.457377, acc: 0.265625]
38520: [discriminator loss: 0.541742, acc: 0.664062] [adversarial loss: 0.883771, acc: 0.515625]
38521: [discriminator loss: 0.551404, acc: 0.695312] [adversarial loss: 1.441827, acc: 0.171875]
38522: [discriminator loss: 0.488998, acc: 0.742188] [adversarial loss: 1.172384, acc: 0.281250]
38523: [discriminator loss: 0.497874, acc: 0.781250] [adversarial loss: 1.491623, acc: 0.125000]
38524: [discriminator loss: 0.501198, acc: 0.742188] [adversarial loss: 1.348216, acc: 0.218750]
38525: [discriminator loss: 0.469152, acc: 0.750000] [adversarial loss: 1.544746, acc: 0.218750]
38526: [discriminator loss: 0.521072, acc: 0.742188] [adversarial loss: 1.352781, acc: 0.281250]
38527: [discriminator loss: 0.540583, acc: 0.718750] [adversarial loss: 1.900618, acc: 0.109375]
38528: [discriminator loss: 0.527825, acc: 0.750000] [adversarial loss: 0.919263, acc: 0.453125]
38529: [discriminator loss: 0.456397, acc: 0.781250] [adversarial loss: 1.687786, acc: 0.203125]
38530: [discriminator loss: 0.429859, acc: 0.804688] [adversarial loss: 0.979891, acc: 0.484375]
38531: [discriminator loss: 0.490279, acc: 0.750000] [adversarial loss: 1.461668, acc: 0.250000]
38532: [discriminator loss: 0.425575, acc: 0.804688] [adversarial loss: 1.007029, acc: 0.484375]
38533: [discriminator loss: 0.440434, acc: 0.828125] [adversarial loss: 1.105546, acc: 0.375000]
38534: [discriminator loss: 0.391410, acc: 0.820312] [adversarial loss: 1.246980, acc: 0.312500]
38535: [discriminator loss: 0.427765, acc: 0.812500] [adversarial loss: 0.714506, acc: 0.578125]
38536: [discriminator loss: 0.431219, acc: 0.812500] [adversarial loss: 1.573650, acc: 0.203125]
38537: [discriminator loss: 0.573784, acc: 0.671875] [adversarial loss: 0.908362, acc: 0.406250]
38538: [discriminator loss: 0.503633, acc: 0.726562] [adversarial loss: 1.187691, acc: 0.312500]
38539: [discriminator loss: 0.432854, acc: 0.796875] [adversarial loss: 1.063244, acc: 0.343750]
38540: [discriminator loss: 0.485879, acc: 0.765625] [adversarial loss: 1.481801, acc: 0.125000]
38541: [discriminator loss: 0.468346, acc: 0.789062] [adversarial loss: 0.923408, acc: 0.453125]
38542: [discriminator loss: 0.510373, acc: 0.789062] [adversarial loss: 1.837128, acc: 0.156250]
38543: [discriminator loss: 0.485989, acc: 0.734375] [adversarial loss: 1.053626, acc: 0.375000]
38544: [discriminator loss: 0.512343, acc: 0.789062] [adversarial loss: 1.370791, acc: 0.250000]
38545: [discriminator loss: 0.513098, acc: 0.742188] [adversarial loss: 0.892062, acc: 0.562500]
38546: [discriminator loss: 0.542234, acc: 0.703125] [adversarial loss: 1.509312, acc: 0.187500]
38547: [discriminator loss: 0.486721, acc: 0.765625] [adversarial loss: 0.969437, acc: 0.437500]
38548: [discriminator loss: 0.523059, acc: 0.726562] [adversarial loss: 1.546760, acc: 0.156250]
38549: [discriminator loss: 0.454724, acc: 0.796875] [adversarial loss: 1.060382, acc: 0.390625]
38550: [discriminator loss: 0.516139, acc: 0.742188] [adversarial loss: 1.971955, acc: 0.093750]
38551: [discriminator loss: 0.564353, acc: 0.687500] [adversarial loss: 1.048511, acc: 0.375000]
38552: [discriminator loss: 0.581814, acc: 0.703125] [adversarial loss: 1.802332, acc: 0.109375]
38553: [discriminator loss: 0.509376, acc: 0.718750] [adversarial loss: 1.163684, acc: 0.296875]
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38650: [discriminator loss: 0.399282, acc: 0.796875] [adversarial loss: 1.188379, acc: 0.343750]
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38722: [discriminator loss: 0.597047, acc: 0.710938] [adversarial loss: 1.642174, acc: 0.125000]
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38730: [discriminator loss: 0.509208, acc: 0.742188] [adversarial loss: 0.822893, acc: 0.500000]
38731: [discriminator loss: 0.630522, acc: 0.656250] [adversarial loss: 1.810175, acc: 0.062500]
38732: [discriminator loss: 0.540624, acc: 0.718750] [adversarial loss: 1.009190, acc: 0.359375]
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38734: [discriminator loss: 0.505402, acc: 0.750000] [adversarial loss: 1.354164, acc: 0.140625]
38735: [discriminator loss: 0.519830, acc: 0.734375] [adversarial loss: 1.578632, acc: 0.218750]
38736: [discriminator loss: 0.489226, acc: 0.734375] [adversarial loss: 1.096205, acc: 0.328125]
38737: [discriminator loss: 0.562042, acc: 0.726562] [adversarial loss: 1.923810, acc: 0.031250]
38738: [discriminator loss: 0.631630, acc: 0.687500] [adversarial loss: 1.082070, acc: 0.296875]
38739: [discriminator loss: 0.481027, acc: 0.718750] [adversarial loss: 1.366907, acc: 0.187500]
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38811: [discriminator loss: 0.547916, acc: 0.742188] [adversarial loss: 1.124022, acc: 0.296875]
38812: [discriminator loss: 0.507953, acc: 0.734375] [adversarial loss: 1.395861, acc: 0.203125]
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38814: [discriminator loss: 0.566508, acc: 0.695312] [adversarial loss: 1.233187, acc: 0.187500]
38815: [discriminator loss: 0.501854, acc: 0.757812] [adversarial loss: 1.646453, acc: 0.109375]
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38817: [discriminator loss: 0.528384, acc: 0.703125] [adversarial loss: 1.384547, acc: 0.250000]
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38819: [discriminator loss: 0.523450, acc: 0.742188] [adversarial loss: 1.430683, acc: 0.187500]
38820: [discriminator loss: 0.563877, acc: 0.726562] [adversarial loss: 0.913869, acc: 0.406250]
38821: [discriminator loss: 0.579425, acc: 0.687500] [adversarial loss: 1.877265, acc: 0.046875]
38822: [discriminator loss: 0.488702, acc: 0.757812] [adversarial loss: 0.897326, acc: 0.406250]
38823: [discriminator loss: 0.504129, acc: 0.750000] [adversarial loss: 1.649006, acc: 0.156250]
38824: [discriminator loss: 0.557954, acc: 0.718750] [adversarial loss: 1.071079, acc: 0.312500]
38825: [discriminator loss: 0.519384, acc: 0.726562] [adversarial loss: 1.349253, acc: 0.234375]
38826: [discriminator loss: 0.484577, acc: 0.765625] [adversarial loss: 1.664054, acc: 0.078125]
38827: [discriminator loss: 0.524910, acc: 0.726562] [adversarial loss: 1.081274, acc: 0.468750]
38828: [discriminator loss: 0.482501, acc: 0.750000] [adversarial loss: 1.740620, acc: 0.171875]
38829: [discriminator loss: 0.431841, acc: 0.781250] [adversarial loss: 1.211038, acc: 0.234375]
38830: [discriminator loss: 0.445064, acc: 0.781250] [adversarial loss: 1.166978, acc: 0.281250]
38831: [discriminator loss: 0.458783, acc: 0.789062] [adversarial loss: 1.598749, acc: 0.203125]
38832: [discriminator loss: 0.458893, acc: 0.773438] [adversarial loss: 1.199778, acc: 0.328125]
38833: [discriminator loss: 0.484565, acc: 0.765625] [adversarial loss: 1.524279, acc: 0.250000]
38834: [discriminator loss: 0.456440, acc: 0.773438] [adversarial loss: 1.044944, acc: 0.343750]
38835: [discriminator loss: 0.528967, acc: 0.718750] [adversarial loss: 1.798571, acc: 0.093750]
38836: [discriminator loss: 0.559122, acc: 0.757812] [adversarial loss: 1.112014, acc: 0.265625]
38837: [discriminator loss: 0.581560, acc: 0.679688] [adversarial loss: 1.801857, acc: 0.156250]
38838: [discriminator loss: 0.533118, acc: 0.734375] [adversarial loss: 1.021584, acc: 0.359375]
38839: [discriminator loss: 0.542285, acc: 0.703125] [adversarial loss: 1.753908, acc: 0.093750]
38840: [discriminator loss: 0.512015, acc: 0.757812] [adversarial loss: 0.977338, acc: 0.421875]
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38844: [discriminator loss: 0.562685, acc: 0.687500] [adversarial loss: 1.043089, acc: 0.328125]
38845: [discriminator loss: 0.489930, acc: 0.757812] [adversarial loss: 1.531022, acc: 0.125000]
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38847: [discriminator loss: 0.512740, acc: 0.742188] [adversarial loss: 1.482397, acc: 0.203125]
38848: [discriminator loss: 0.545209, acc: 0.703125] [adversarial loss: 1.196935, acc: 0.328125]
38849: [discriminator loss: 0.455564, acc: 0.765625] [adversarial loss: 1.322306, acc: 0.218750]
38850: [discriminator loss: 0.499934, acc: 0.726562] [adversarial loss: 0.989594, acc: 0.453125]
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38860: [discriminator loss: 0.522742, acc: 0.765625] [adversarial loss: 1.128015, acc: 0.484375]
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38901: [discriminator loss: 0.492559, acc: 0.750000] [adversarial loss: 1.230354, acc: 0.312500]
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38904: [discriminator loss: 0.455800, acc: 0.789062] [adversarial loss: 1.586608, acc: 0.218750]
38905: [discriminator loss: 0.499999, acc: 0.742188] [adversarial loss: 0.937415, acc: 0.375000]
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38910: [discriminator loss: 0.471142, acc: 0.796875] [adversarial loss: 1.556193, acc: 0.187500]
38911: [discriminator loss: 0.472114, acc: 0.781250] [adversarial loss: 1.293522, acc: 0.281250]
38912: [discriminator loss: 0.591027, acc: 0.671875] [adversarial loss: 1.653872, acc: 0.109375]
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38914: [discriminator loss: 0.478378, acc: 0.757812] [adversarial loss: 1.698868, acc: 0.093750]
38915: [discriminator loss: 0.502906, acc: 0.703125] [adversarial loss: 1.131002, acc: 0.296875]
38916: [discriminator loss: 0.430592, acc: 0.789062] [adversarial loss: 1.515428, acc: 0.171875]
38917: [discriminator loss: 0.518487, acc: 0.695312] [adversarial loss: 1.011619, acc: 0.343750]
38918: [discriminator loss: 0.591784, acc: 0.664062] [adversarial loss: 1.638833, acc: 0.156250]
38919: [discriminator loss: 0.562836, acc: 0.726562] [adversarial loss: 1.171875, acc: 0.359375]
38920: [discriminator loss: 0.504271, acc: 0.734375] [adversarial loss: 1.764176, acc: 0.093750]
38921: [discriminator loss: 0.602422, acc: 0.656250] [adversarial loss: 0.951470, acc: 0.390625]
38922: [discriminator loss: 0.519174, acc: 0.742188] [adversarial loss: 1.590065, acc: 0.125000]
38923: [discriminator loss: 0.506643, acc: 0.710938] [adversarial loss: 1.093678, acc: 0.406250]
38924: [discriminator loss: 0.408841, acc: 0.843750] [adversarial loss: 1.701339, acc: 0.125000]
38925: [discriminator loss: 0.561728, acc: 0.671875] [adversarial loss: 0.974101, acc: 0.437500]
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39900: [discriminator loss: 0.472937, acc: 0.710938] [adversarial loss: 1.097269, acc: 0.375000]
39901: [discriminator loss: 0.463393, acc: 0.773438] [adversarial loss: 1.437484, acc: 0.250000]
39902: [discriminator loss: 0.528367, acc: 0.757812] [adversarial loss: 1.083685, acc: 0.453125]
39903: [discriminator loss: 0.588104, acc: 0.671875] [adversarial loss: 1.398205, acc: 0.203125]
39904: [discriminator loss: 0.533227, acc: 0.726562] [adversarial loss: 1.355002, acc: 0.281250]
39905: [discriminator loss: 0.478134, acc: 0.750000] [adversarial loss: 1.676281, acc: 0.187500]
39906: [discriminator loss: 0.459386, acc: 0.804688] [adversarial loss: 1.013057, acc: 0.406250]
39907: [discriminator loss: 0.522737, acc: 0.750000] [adversarial loss: 1.442020, acc: 0.187500]
39908: [discriminator loss: 0.525900, acc: 0.718750] [adversarial loss: 0.974485, acc: 0.390625]
39909: [discriminator loss: 0.461292, acc: 0.804688] [adversarial loss: 1.952654, acc: 0.078125]
39910: [discriminator loss: 0.612364, acc: 0.671875] [adversarial loss: 0.773756, acc: 0.562500]
39911: [discriminator loss: 0.533312, acc: 0.679688] [adversarial loss: 1.886796, acc: 0.109375]
39912: [discriminator loss: 0.485861, acc: 0.750000] [adversarial loss: 0.907897, acc: 0.421875]
39913: [discriminator loss: 0.508577, acc: 0.757812] [adversarial loss: 1.218112, acc: 0.390625]
39914: [discriminator loss: 0.534625, acc: 0.734375] [adversarial loss: 1.117739, acc: 0.281250]
39915: [discriminator loss: 0.514096, acc: 0.695312] [adversarial loss: 1.681991, acc: 0.078125]
39916: [discriminator loss: 0.493526, acc: 0.742188] [adversarial loss: 1.070676, acc: 0.375000]
39917: [discriminator loss: 0.484234, acc: 0.742188] [adversarial loss: 1.431699, acc: 0.218750]
39918: [discriminator loss: 0.460466, acc: 0.757812] [adversarial loss: 1.207346, acc: 0.296875]
39919: [discriminator loss: 0.462206, acc: 0.765625] [adversarial loss: 1.349171, acc: 0.171875]
39920: [discriminator loss: 0.421746, acc: 0.812500] [adversarial loss: 1.206423, acc: 0.265625]
39921: [discriminator loss: 0.371511, acc: 0.843750] [adversarial loss: 1.584976, acc: 0.171875]
39922: [discriminator loss: 0.556979, acc: 0.703125] [adversarial loss: 1.368565, acc: 0.187500]
39923: [discriminator loss: 0.611535, acc: 0.671875] [adversarial loss: 0.859462, acc: 0.484375]
39924: [discriminator loss: 0.488323, acc: 0.804688] [adversarial loss: 1.529907, acc: 0.203125]
39925: [discriminator loss: 0.512644, acc: 0.765625] [adversarial loss: 1.103499, acc: 0.375000]
39926: [discriminator loss: 0.521986, acc: 0.718750] [adversarial loss: 1.397106, acc: 0.187500]
39927: [discriminator loss: 0.486351, acc: 0.781250] [adversarial loss: 1.213903, acc: 0.359375]
39928: [discriminator loss: 0.481824, acc: 0.726562] [adversarial loss: 1.610422, acc: 0.156250]
39929: [discriminator loss: 0.489914, acc: 0.757812] [adversarial loss: 1.281984, acc: 0.234375]
39930: [discriminator loss: 0.537949, acc: 0.695312] [adversarial loss: 1.275191, acc: 0.218750]
39931: [discriminator loss: 0.602789, acc: 0.640625] [adversarial loss: 1.304244, acc: 0.265625]
39932: [discriminator loss: 0.520200, acc: 0.742188] [adversarial loss: 1.674585, acc: 0.218750]
39933: [discriminator loss: 0.534665, acc: 0.718750] [adversarial loss: 1.092885, acc: 0.296875]
39934: [discriminator loss: 0.546299, acc: 0.726562] [adversarial loss: 1.486644, acc: 0.187500]
39935: [discriminator loss: 0.511639, acc: 0.765625] [adversarial loss: 1.244832, acc: 0.312500]
39936: [discriminator loss: 0.525389, acc: 0.734375] [adversarial loss: 1.380836, acc: 0.203125]
39937: [discriminator loss: 0.432805, acc: 0.820312] [adversarial loss: 1.261578, acc: 0.265625]
39938: [discriminator loss: 0.525371, acc: 0.726562] [adversarial loss: 1.646493, acc: 0.203125]
39939: [discriminator loss: 0.541975, acc: 0.703125] [adversarial loss: 1.159430, acc: 0.359375]
39940: [discriminator loss: 0.552105, acc: 0.734375] [adversarial loss: 1.736800, acc: 0.125000]
39941: [discriminator loss: 0.530474, acc: 0.734375] [adversarial loss: 0.934029, acc: 0.531250]
39942: [discriminator loss: 0.639103, acc: 0.679688] [adversarial loss: 1.745401, acc: 0.109375]
39943: [discriminator loss: 0.547027, acc: 0.695312] [adversarial loss: 1.003031, acc: 0.437500]
39944: [discriminator loss: 0.478679, acc: 0.757812] [adversarial loss: 1.620061, acc: 0.171875]
39945: [discriminator loss: 0.485061, acc: 0.726562] [adversarial loss: 1.207049, acc: 0.187500]
39946: [discriminator loss: 0.463000, acc: 0.796875] [adversarial loss: 1.584105, acc: 0.109375]
39947: [discriminator loss: 0.525992, acc: 0.726562] [adversarial loss: 1.081679, acc: 0.406250]
39948: [discriminator loss: 0.554110, acc: 0.718750] [adversarial loss: 1.716045, acc: 0.187500]
39949: [discriminator loss: 0.499340, acc: 0.750000] [adversarial loss: 1.064009, acc: 0.250000]
39950: [discriminator loss: 0.625539, acc: 0.679688] [adversarial loss: 1.778580, acc: 0.234375]
39951: [discriminator loss: 0.490735, acc: 0.742188] [adversarial loss: 1.536363, acc: 0.265625]
39952: [discriminator loss: 0.482605, acc: 0.742188] [adversarial loss: 1.479895, acc: 0.187500]
39953: [discriminator loss: 0.480961, acc: 0.742188] [adversarial loss: 1.538102, acc: 0.109375]
39954: [discriminator loss: 0.482488, acc: 0.757812] [adversarial loss: 1.438838, acc: 0.218750]
39955: [discriminator loss: 0.440680, acc: 0.781250] [adversarial loss: 1.587450, acc: 0.203125]
39956: [discriminator loss: 0.529291, acc: 0.726562] [adversarial loss: 1.727191, acc: 0.109375]
39957: [discriminator loss: 0.487146, acc: 0.710938] [adversarial loss: 1.038430, acc: 0.484375]
39958: [discriminator loss: 0.519744, acc: 0.765625] [adversarial loss: 1.791235, acc: 0.078125]
39959: [discriminator loss: 0.599904, acc: 0.656250] [adversarial loss: 1.004915, acc: 0.453125]
39960: [discriminator loss: 0.536990, acc: 0.750000] [adversarial loss: 1.681003, acc: 0.109375]
39961: [discriminator loss: 0.511299, acc: 0.789062] [adversarial loss: 1.101669, acc: 0.406250]
39962: [discriminator loss: 0.522386, acc: 0.734375] [adversarial loss: 1.843600, acc: 0.109375]
39963: [discriminator loss: 0.559368, acc: 0.671875] [adversarial loss: 1.338345, acc: 0.296875]
39964: [discriminator loss: 0.511114, acc: 0.695312] [adversarial loss: 1.184625, acc: 0.390625]
39965: [discriminator loss: 0.505345, acc: 0.789062] [adversarial loss: 1.545792, acc: 0.125000]
39966: [discriminator loss: 0.470452, acc: 0.781250] [adversarial loss: 1.143876, acc: 0.296875]
39967: [discriminator loss: 0.573264, acc: 0.750000] [adversarial loss: 1.575401, acc: 0.218750]
39968: [discriminator loss: 0.498177, acc: 0.734375] [adversarial loss: 1.172045, acc: 0.296875]
39969: [discriminator loss: 0.468156, acc: 0.726562] [adversarial loss: 1.224950, acc: 0.281250]
39970: [discriminator loss: 0.437934, acc: 0.820312] [adversarial loss: 1.547393, acc: 0.156250]
39971: [discriminator loss: 0.482902, acc: 0.765625] [adversarial loss: 1.204636, acc: 0.359375]
39972: [discriminator loss: 0.579052, acc: 0.718750] [adversarial loss: 1.320836, acc: 0.250000]
39973: [discriminator loss: 0.507659, acc: 0.734375] [adversarial loss: 0.974057, acc: 0.375000]
39974: [discriminator loss: 0.522688, acc: 0.742188] [adversarial loss: 1.390102, acc: 0.156250]
39975: [discriminator loss: 0.476722, acc: 0.796875] [adversarial loss: 1.142241, acc: 0.328125]
39976: [discriminator loss: 0.483445, acc: 0.765625] [adversarial loss: 1.463007, acc: 0.187500]
39977: [discriminator loss: 0.549855, acc: 0.718750] [adversarial loss: 0.798503, acc: 0.515625]
39978: [discriminator loss: 0.647813, acc: 0.703125] [adversarial loss: 2.021202, acc: 0.046875]
39979: [discriminator loss: 0.540346, acc: 0.734375] [adversarial loss: 0.932057, acc: 0.406250]
39980: [discriminator loss: 0.496230, acc: 0.789062] [adversarial loss: 1.497083, acc: 0.156250]
39981: [discriminator loss: 0.484490, acc: 0.734375] [adversarial loss: 1.094966, acc: 0.328125]
39982: [discriminator loss: 0.531130, acc: 0.687500] [adversarial loss: 1.537552, acc: 0.140625]
39983: [discriminator loss: 0.469319, acc: 0.757812] [adversarial loss: 1.103617, acc: 0.343750]
39984: [discriminator loss: 0.423077, acc: 0.773438] [adversarial loss: 1.241959, acc: 0.296875]
39985: [discriminator loss: 0.493472, acc: 0.710938] [adversarial loss: 1.390549, acc: 0.250000]
39986: [discriminator loss: 0.553180, acc: 0.718750] [adversarial loss: 1.434425, acc: 0.203125]
39987: [discriminator loss: 0.495745, acc: 0.820312] [adversarial loss: 1.170978, acc: 0.265625]
39988: [discriminator loss: 0.451460, acc: 0.781250] [adversarial loss: 1.413509, acc: 0.171875]
39989: [discriminator loss: 0.419856, acc: 0.820312] [adversarial loss: 1.440859, acc: 0.265625]
39990: [discriminator loss: 0.534078, acc: 0.757812] [adversarial loss: 1.295106, acc: 0.203125]
39991: [discriminator loss: 0.497199, acc: 0.734375] [adversarial loss: 1.455828, acc: 0.171875]
39992: [discriminator loss: 0.473323, acc: 0.773438] [adversarial loss: 1.189492, acc: 0.312500]
39993: [discriminator loss: 0.448234, acc: 0.781250] [adversarial loss: 1.618794, acc: 0.203125]
39994: [discriminator loss: 0.461883, acc: 0.765625] [adversarial loss: 1.164420, acc: 0.343750]
39995: [discriminator loss: 0.523933, acc: 0.742188] [adversarial loss: 1.502442, acc: 0.156250]
39996: [discriminator loss: 0.487061, acc: 0.726562] [adversarial loss: 1.090317, acc: 0.468750]
39997: [discriminator loss: 0.566795, acc: 0.679688] [adversarial loss: 2.009386, acc: 0.046875]
39998: [discriminator loss: 0.490221, acc: 0.750000] [adversarial loss: 0.936111, acc: 0.484375]
39999: [discriminator loss: 0.473542, acc: 0.734375] [adversarial loss: 1.745233, acc: 0.171875]